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In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal)
Evolutionary multimodal optimization
Evolutionary_multimodal_optimization
Topics referred to by the same term
modal logic that has more than one primitive modal operator Evolutionary multimodal optimization, finding all or most of the multiple (at least locally optimal)
Multimodal
Dynamic time warping Eclat algorithm Error-driven learning Evolutionary multimodal optimization FastICA FP-growth algorithm GeneRec Genetic Algorithm for
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Trial and error problem solvers with a metaheuristic or stochastic optimization character
Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield
Evolutionary_computation
Subset of evolutionary computation
free lunch theorem of optimization states that all optimization strategies are equally effective when the set of all optimization problems is considered
Evolutionary_algorithm
Competitive algorithm for searching a problem space
algorithms are a sub-field: Evolutionary algorithms Evolutionary computing Metaheuristics Stochastic optimization Optimization Evolutionary algorithms is a sub-field
Genetic_algorithm
Method of mathematical optimization
problem being optimized, which means DE does not require the optimization problem to be differentiable, as is required by classic optimization methods such
Differential_evolution
Type of machine learning model
inference and multimodal models TensorRT-LLM – Nvidia software development kit for deep learning inference — open-source toolkit for optimizing and serving
Large_language_model
Evolutionary algorithm with a defined structure
Kazuyuki (1 June 2012). "Diversity Guided Evolutionary Programming: A novel approach for continuous optimization". Applied Soft Computing. 12 (6): 1693–1707
Evolutionary_programming
Genetic operation used to add population diversity
maintain genetic diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic algorithms in particular. It is analogous
Mutation (evolutionary algorithm)
Mutation_(evolutionary_algorithm)
Overview of and topical guide to machine learning
set approach Dynamic time warping Error-driven learning Evolutionary multimodal optimization Expectation–maximization algorithm FastICA Forward–backward
Outline_of_machine_learning
Population models of evolutionary algorithms
"Local interaction evolution strategies for design optimization", Conf. Proc. Congress on Evolutionary Computation (CEC 99), IEEE, pp. 2167–2174, doi:10
Population model (evolutionary algorithm)
Population_model_(evolutionary_algorithm)
Algorithm in computer science
strategy (ES) from computer science is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic operators
Evolution_strategy
Evolving computer programs with techniques analogous to natural genetic processes
Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population
Genetic_programming
Set of parameters for a genetic or evolutionary algorithm
continuous, mixed-integer, pure-integer or combinatorial optimization. For a combination of these optimization areas, on the other hand, it becomes increasingly
Chromosome (evolutionary algorithm)
Chromosome_(evolutionary_algorithm)
Concept in communication
Multimodality is the application of multiple literacies within one medium. Multiple literacies or "modes" contribute to an audience's understanding of
Multimodality
Sequential model-based optimization of expensive black-box functions
Bayesian optimization is a sequential model-based strategy for global optimization of black-box objective functions whose evaluations are costly. It is
Bayesian_optimization
Selection is a genetic operator in an evolutionary algorithm (EA). An EA is a metaheuristic inspired by biological evolution and aims to solve challenging
Selection (evolutionary algorithm)
Selection_(evolutionary_algorithm)
Operator used to vary the programming of chromosomes from one generation to the next
Crossover in evolutionary algorithms and evolutionary computation, also called recombination, is a genetic operator used to combine the genetic information
Crossover (evolutionary algorithm)
Crossover_(evolutionary_algorithm)
"Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization". Applications of Evolutionary Computation. Lecture Notes in Computer
List of genetic algorithm applications
List_of_genetic_algorithm_applications
Sub-area of digital image processing
various image processing problems. Evolutionary image processing thus represents the combination of evolutionary optimization and digital image processing.
Evolutionary_image_processing
Objective function of evolutionary algorithm
for this purpose, Pareto optimization and optimization based on fitness calculated using the weighted sum. When optimizing with the weighted sum, the
Fitness_function
Study of mathematical algorithms for optimization problems
generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems arise in all quantitative disciplines from
Mathematical_optimization
minimized. Mathematical optimization Metaheuristic Search algorithm Stochastic optimization Evolutionary computation Evolutionary algorithm Genetic algorithm
Fly_algorithm
Secretary bird-inspired optimizer
Secretary bird optimization algorithm (SBOA) is a metaheuristic optimization algorithm introduced in 2024. It is a population-based method inspired by
Secretary bird optimization algorithm
Secretary_bird_optimization_algorithm
Interpretation of sensory information
2011. Retrieved 26 March 2011. Rosenblum LD (15 April 2008). "Primacy of Multimodal Speech Perception". In Pisoni D, Remez R (eds.). The Handbook of Speech
Perception
Algorithm for searching a problem space
theorems of optimization and search state that all optimization strategies are equally effective with respect to the set of all optimization problems. Conversely
Memetic_algorithm
Genetic programming technique
evolution (GE) is a genetic programming (GP) technique (or approach) from evolutionary computation pioneered by Conor Ryan, JJ Collins and Michael O'Neill in
Grammatical_evolution
Data structure and types for evolutionary computation
but not in general, which is left to optimization. Eiben, A.E.; Smith, J.E. (2015). Introduction to Evolutionary Computing. Natural Computing Series.
Genetic_representation
principles of biological evolution as a computer algorithm for solving an optimization problem. The effect means that the population of an EA has converged
Premature_convergence
Numerical optimization algorithm
Natural evolution strategies (NES) are a family of numerical optimization algorithms for black box problems. Similar in spirit to evolution strategies
Natural_evolution_strategy
Component of an evolutionary algorithm
Zbigniew; Schoenauer, Marc (1996). "Evolutionary Algorithms for Constrained Parameter Optimization Problems". Evolutionary Computation. 4 (1): 1–32. doi:10
Genotypic and phenotypic repair
Genotypic_and_phenotypic_repair
function used in unconstrained optimization. It is commonly employed to evaluate the performance of global optimization algorithms. The function is defined
Griewank_function
Evolutionary algorithm
expression programming style in ABC optimization to conduct ABCEP as a method that outperformed other evolutionary algorithms.ABCEP The genome of gene
Gene_expression_programming
A genetic operator is an operator used in evolutionary algorithms (EA) to guide the algorithm towards a solution to a given problem. There are three main
Genetic_operator
does not itself match H, the schema is said to have been disrupted. In evolutionary computing such as genetic algorithms and genetic programming, propagation
Schema_(genetic_algorithms)
F., Thomson, P., Fogarty, T.C.: Designing Electronic Circuits Using Evolutionary Algorithms: Arithmetic Circuits: A Case Study. In: D. Quagliarella, J
Cartesian_genetic_programming
Optimization algorithm
Gradient descent is a method for unconstrained mathematical optimization. It is a first-order iterative algorithm for minimizing a differentiable multivariate
Gradient_descent
Structuring text as input to generative artificial intelligence
reinforcement-learning-based Group Relative Policy Optimization (GRPO) and over 10% over the MIPROv2 prompt optimizer, while using up to 35 times fewer rollouts
Prompt_engineering
original individual is left intact, so as to continue participating in the evolutionary process. It is only the copy that is executed that is compressed by removing
Linear_genetic_programming
Lisp based discovery system by Douglas Lenat
Effective fitness Evolutionary computation Gaussian adaptation Grammar induction Evolutionary multimodal optimization Memetic algorithm Neuroevolution v t e
Eurisko
space) Various optimization problems Social simulation Real-parameter optimization Artificial intelligence Artificial life Evolutionary computation Genetic
Cultural_algorithm
F. J. (2002). "Learning and Optimization Using the Clonal Selection Principle" (PDF). IEEE Transactions on Evolutionary Computation. 6 (3): 239–251.
Clonal_selection_algorithm
Evolutionary algorithm
strategy for numerical optimization. Evolution strategies (ES) are stochastic, derivative-free methods for numerical optimization of non-linear or non-convex
CMA-ES
Multi-objective optimization to search for the Pareto efficiency in a multiple objectives scenario. For instance, the objectives to simultaneously optimize can be
Genetic_fuzzy_systems
Effective fitness Evolutionary computation Gaussian adaptation Grammar induction Evolutionary multimodal optimization Memetic algorithm Neuroevolution v t e
Genetic memory (computer science)
Genetic_memory_(computer_science)
Computer model of genotype–phenotype maps
"A cellular mechanism for multi-robot construction via evolutionary multi-objective optimization of a gene regulatory network." BioSystems 98(3): 193-203
Artificial_development
Chronological table of metaheuristic algorithms
(2016-02-01). "Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm". Swarm and Evolutionary Computation. 26: 8–22. doi:10
Table_of_metaheuristics
Evolutionary algorithm designed for maximizing manufacturing yield
P. Vecchi, Optimization by Simulated Annealing, Science, Vol 220, Number 4598, pages 671–680, 1983. Kjellström, G. Network Optimization by Random Variation
Gaussian_adaptation
Function used as a performance test problem for optimization algorithms
is a multidimensional, multimodal, continuous, deterministic function commonly used as a test function for testing optimization techniques. The mathematical
Shekel_function
American computer scientist
dynamic niche sharing for multimodal function optimization". Proceedings of IEEE International Conference on Evolutionary Computation. pp. 41–49. doi:10
David_E._Goldberg
Method of selection in selective breeding
Truncation selection is a selection method in selective breeding and in evolutionary algorithms from computer science, which selects a certain share of fittest
Truncation_selection
Concept in artificial intelligence
specialized subsystems, or agents, each optimized for specific tasks and functions. Develop new and novel multimodal architectures that further improve the
Recursive_self-improvement
a population of solutions are evolutionary algorithms (EAs), ant colony optimization (ACO), particle swarm optimization (PSO), scatter search (SS), differential
Parallel_metaheuristic
Theorem on genetic algorithms
that have no selective advantage. This happens in particular in multimodal optimization, where a function can have multiple peaks: the population may drift
Holland's_schema_theorem
Designing products to facilitate 3D printing
for Additive Manufacturing. Topology optimization is a type of structural optimization technique which can optimize material layout within a given design
Design for additive manufacturing
Design_for_additive_manufacturing
Multi Expression Programming (MEP) is an evolutionary algorithm for generating mathematical functions describing a given set of data. MEP is a Genetic
Multi_expression_programming
French artificial intelligence company
that aims to identify new treatments, optimize clinical trials and develop AI diagnostics. The company uses multimodal patient data from academic institutions
Owkin
Genetic algorithm for neuroevolution
Prieto, and R.J. Duro (2006), Adaptive Learning Application of the MDB Evolutionary Cognitive Architecture in Physical Agents, Lecture notes on artificial
Promoter based genetic algorithm
Promoter_based_genetic_algorithm
Reproductive success given genetic mutation
Problem solving with evolutionary computation is realized with a cost function. If cost functions are applied to swarm optimization they are called a fitness
Effective_fitness
AI that generates content
queries. Related terms include answer engine optimization (AEO) and artificial intelligence optimization (AIO). Generative AI models are used to power
Generative_AI
Machine learning-powered structure design
outperformed random search. Bayesian Optimization (BO), which has proven to be an efficient method for hyperparameter optimization, can also be applied to NAS
Neural_architecture_search
Probabilistic problem-solving algorithm
issues related to simulation and optimization. The traveling salesman problem is what is called a conventional optimization problem. That is, all the facts
Monte_Carlo_method
Probabilistic optimization technique and metaheuristic
Specifically, it is a metaheuristic to approximate global optimization in a large search space for an optimization problem. For large numbers of local optima, SA
Simulated_annealing
Process of automating the application of machine learning
Science Through Tree-Based Pipeline Optimization. In: Squillero, G., Burelli, P. (eds) Applications of Evolutionary Computation. EvoApplications 2016.
Automated_machine_learning
Computer science esearch conference
Covariance Matrix Adaptation-Evolution Strategy. Pareto optimization redirects to Multi-objective optimization in Wikipedia, hence the link here. The IEEE organises
Parallel Problem Solving from Nature
Parallel_Problem_Solving_from_Nature
Physiological capacity
modalities are different ways sensory information is encoded or transduced. Multimodality integrates different senses into one unified perceptual experience.
Sense
Effective fitness Evolutionary computation Gaussian adaptation Grammar induction Evolutionary multimodal optimization Memetic algorithm Neuroevolution v t e
Parity_benchmark
Field of machine learning
2022.3196167. Gosavi, Abhijit (2003). Simulation-based Optimization: Parametric Optimization Techniques and Reinforcement. Operations Research/Computer
Reinforcement_learning
Demand optimization Destination dispatch — an optimization technique for dispatching elevators Energy minimization Entropy maximization Highly optimized tolerance
List of numerical analysis topics
List_of_numerical_analysis_topics
AI researcher
probabilistic spiking neuron model, alongside a quantum-inspired evolutionary optimization method for SNN, enabling faster convergence of solutions. His
Nikola_Kasabov
Molecular biology technique
of chromatin Accessibility And Cellular transcriptomes) represents a multimodal update to ATAC-seq, providing a powerful method for investigating gene
ATAC-seq
Artificial simulation of human imagination
Abramson, J.; Ahuja, A; Carnevale, F. (21 November 2022). "Improving Multimodal Interactive Agents with Reinforcement Learning from Human Feedback". p
Artificial_imagination
Intelligence of machines
algorithms used in search are particle swarm optimization (inspired by bird flocking) and ant colony optimization (inspired by ant trails). Formal logic is
Artificial_intelligence
target image. Generally, the images acquired from different sensors (multimodal), time instants (multitemporal), and points of view (multiview) should
Elastix_(image_registration)
Subfield of machine learning
achieve satisfied results. What optimization-based meta-learning algorithms intend for is to adjust the optimization algorithm so that the model can be
Meta-learning (computer science)
Meta-learning_(computer_science)
Subset of artificial intelligence
as hardware acceleration, approximate computing, and model optimization. Common optimization techniques include pruning, quantisation, knowledge distillation
Machine_learning
Method of machine learning
continual learning to generative AI systems, including large language models, multimodal models, and diffusion models, with the goal of updating capabilities over
Incremental_learning
Computational model used in machine learning
programming for fractionated radiotherapy planning". Optimization in Medicine. Springer Optimization and Its Applications. Vol. 12. pp. 47–70. CiteSeerX 10
Neural network (machine learning)
Neural_network_(machine_learning)
Density as the segregation mechanism in fish school search for multimodal optimization problems. In International Conference in Swarm Intelligence (pp
Fish_School_Search
AI research laboratory
AlphaEvolve, an evolutionary coding agent using LLMs like Gemini to design optimized algorithms. AlphaEvolve begins each optimization process with an
Google_DeepMind
List of concepts in artificial intelligence
stochastic optimization methods use random iterates to solve stochastic problems, combining both meanings of stochastic optimization. Stochastic optimization methods
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
Artificial intelligence model paradigm
control or Monte Carlo tree search to create policies. With the latter, (multimodal) large language models or video generation models can be used. In addition
Foundation_model
Partitioning a digital image into segments
Ye, Run Zhou (18 February 2022). "DeepImageTranslator V2: analysis of multimodal medical images using semantic segmentation maps generated through deep
Image_segmentation
Use of machine learning to rank items
MLR algorithms. Often a learning-to-rank problem is reformulated as an optimization problem with respect to one of these metrics. Examples of ranking quality
Learning_to_rank
Video-generating machine learning model
released in May 2025, can also generate accompanying audio. In May 2024, a multimodal video generation model called Veo was announced at Google I/O 2024. Google
Veo_(text-to-video_model)
German computer scientist
well suited to be adopted in experimental optimization, mainly due to noisy measurements and/or multimodality. They realized modifying all the variables
Hans-Paul_Schwefel
Deep learning generative model to encode data representation
in a separate optimization process. However, variational autoencoders use a neural network as an amortized approach to jointly optimize across data points
Variational_autoencoder
Italian artificial intelligence project
together with the multimodal text-to-speech model Velvet Speech 2B. The company described Velvet 25B as a 25-billion-parameter model optimized for text processing
Velvet_AI
Branch of machine learning
Deep Learning - From Speech Analysis and Recognition To Language and Multimodal Processing'". Interspeech. Archived from the original on 2017-09-26. Retrieved
Deep_learning
Class of artificial neural network
(and/or evolutionary) optimization techniques may be used to seek a good set of weights, such as simulated annealing or particle swarm optimization. The
Recurrent_neural_network
AI system to detect and respond to human emotions
voice, gesture, graphics, music, etc.)". A 2025 study reported that some multimodal large language models can recognize basic facial expressions with human-level
Artificial_empathy
Substrings of length k contained in a biological sequence
protein expression rates. Similarly, codon pair optimization, a combination of dinucelotide and codon optimization, has also been successfully used to increase
K-mer
Usage of artificial intelligence to generate music
rhyme scheme, syllable count, and poem form. Recent developments include multimodal AI systems that integrate music with other media, e.g., dance, video,
Artificial intelligence in music
Artificial_intelligence_in_music
Designing systems to suit their users
P. R. (2002). "2. Multimodal information presentation in support of human-automation communication and coordination". Multimodal information presentation
Ergonomics
Ruslan; Zemel, Richard S (2014). "Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models". arXiv:1411.2539 [cs.LG].. Srivastava, Rupesh
History of artificial neural networks
History_of_artificial_neural_networks
Effort being used in the working memory
Robinson, Peter (2009). Multimodal inference for driver-vehicle interaction. Proceedings of the 2009 international conference on Multimodal interfaces (ICMI-MLMI
Cognitive_load
Type of feedforward neural network
feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make
Convolutional_neural_network
Deep learning method
an unsupervised manner. GANs are similar to mimicry in evolutionary biology, with an evolutionary arms race between both networks. The original GAN is defined
Generative adversarial network
Generative_adversarial_network
Transmission of information
December 2015). Literacy Theories for the Digital Age: Social, Critical, Multimodal, Spatial, Material and Sensory Lenses. Multilingual Matters. ISBN 978-1-78309-464-6
Communication
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
Surname or Lastname
English, Scottish, and northern Irish
English, Scottish, and northern Irish : habitational name from any of several places in England and Scotland, variously spelled, that are named with Old English cald ‘cold’ + well(a) ‘spring’, ‘stream’. Caldwell in North Yorkshire is one major source of the surname; Caldwell in Renfrewshire in Scotland another.Several Caldwells emigrated from Scotland to America by way of Ireland in the 18th century. James Caldwell (1734–81), son of settler John Caldwell, was born in Charlotte Co., VA, and was a militant clergyman during the revolutionary war. Andrew Caldwell, a Scottish farmer, emigrated to America in 1718 and started a family in Lancaster Co., PA. His son David was a Presbyterian clergyman and well-known revolutionary war patriot.
Surname or Lastname
English and Scottish
English and Scottish : topographic name for someone who lived by a bush or hedge of hawthorn (Old English haguþorn, hægþorn, i.e. thorn used for making hedges and enclosures, Old English haga, (ge)hæg), or a habitational name from a place named with this word, such as Hawthorn in County Durham. In Scotland the surname originated in the Durham place name, and from Scotland it was taken to Ireland. This spelling is now found primarily in northern Ireland.The American novelist Nathaniel Hawthorne (1804–64) was a direct descendant of Major William Hathorne, one of the English Puritans who settled in MA in 1630, and whose son John Hathorne was one of the judges in the Salem witchcraft trials. The writer’s father was a sea captain, as was his grandfather, the revolutionary war hero Daniel Hathorne (1731–96). The spelling of the surname was altered by the novelist.
Surname or Lastname
English
English : perhaps a deliberate alteration of Leatherhead, a habitational name from Leatherhead in Surrey, which is named from Celtic lēd ‘gray’ + rïd ‘ford’, or alternatively a habitational name from Lythwood in Shropshire, which is named from Old English hlið ‘slope’ + wudu ‘wood’.Zachariah Leatherwood, son of John Leatherwood, was born in Prince William Co., VA, about 1735. After the revolutionary war, he settled in Spartanburg Co., SC, with his second wife, Jane Calvert, and many of his fourteen children.
Surname or Lastname
English
English : patronymic or metronymic from Eade.The inventor Thomas Alva Edison, born in 1847 in Milan, OH, came from a Canadian family first established in North America by John Edison, a loyalist during the American Revolution, who served under the British General Richard Howe and went into exile in Nova Scotia after the Revolutionary War.
Surname or Lastname
English (also well established in South Wales)
English (also well established in South Wales) : topographic name for someone who lived in a nook or hollow, from Old English and Middle English hale, dative of h(e)alh ‘nook’, ‘hollow’. In northern England the word often has a specialized meaning, denoting a piece of flat alluvial land by the side of a river, typically one deposited in a bend. In southeastern England it often referred to a patch of dry land in a fen. In some cases the surname may be a habitational name from any of the several places in England named with this fossilized inflected form, which would originally have been preceded by a preposition, e.g. in the hale or at the hale.English : from a Middle English personal name derived from either of two Old English bynames, Hæle ‘hero’ or Hægel, which is probably akin to Germanic Hagano ‘hawthorn’ (see Hain 2).Irish : reduced Anglicized form of Gaelic Mac Céile (see McHale).Jewish (Ashkenazic) : variant spelling of Halle.Robert Hale, who settled in Cambridge, MA, in 1632, was an ancestor of the revolutionary war patriot and spy Nathan Hale (1755–76) of CT. The common English surname was brought independently in the 17th century to VA and MD.
Surname or Lastname
English
English : unexplained.John Mifflin (born 1640) came to Delaware from Warminster, Wiltshire, England, in the 1670s. He is probably the same person as the John Mifflin, a Quaker, who built his home, ‘Fountain Green’, in Fairmont Park, Philadelphia, in 1679. His fourth-generation descendant Thomas Mifflin (1744–1800) was a member of the Continental Congress, a revolutionary soldier, and governor of PA.
Surname or Lastname
English
English : habitational name from either of two places, in Hertfordshire and Surrey, called Puttenham, from the genitive case of the Old English byname Putta, meaning ‘kite’ (the bird) + Old English hÄm ‘homestead’.John Putnam emigrated from England to Salem, MA, before 1641, and established a family that was still prominent in Massachusetts four generations later, including the revolutionary war soldier Israel Putnam (1718–90) and his cousin Rufus Putnam (1738–1824), also a soldier, one of the first settlers in OH.
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi
Couregeous; Revolutionary; Drifting about; Revolution
Surname or Lastname
English
English : topographic name for someone who lived by a copse or thicket, Middle English s(c)hage, s(c)hawe (Old English sceaga), or a habitational name from any of the numerous minor places named with this word. The English surname was also established in Ireland in the 17th century.Scottish and Irish : adopted as an English form of any of various Gaelic surnames derived from the personal name Sitheach ‘wolf’.Americanized form of some like-sounding Ashkenazic Jewish surname.Chinese : variant of Shao.Early American merchants and revolutionary patriots were Nathaniel Shaw (b. 1735 in New London, CT) and Samuel Shaw (b. 1754 in Boston).
Surname or Lastname
English
English : from Old English clǣg ‘clay’, applied as a topographic name for someone who lived in an area of clay soil or as a metonymic occupational name for a worker in a clay pit (see Clayman).Americanized spelling of German Klee.The relatively common English name Clay had several American forebears in the 18th century. Henry Clay, born in Hanover, VA, in 1777, secretary of state for President John Quincy Adams, was descended from English ancestors who came to VA shortly after the founding of Jamestown. The revolutionary war officer Joseph Clay, also a member of the Continental Congress, was a native of Yorkshire, England, who emigrated to GA in 1760 and was a founder of the University of Georgia.
Surname or Lastname
English
English : occupational name for the servant of a parish priest or parson, or a patronymic denoting the child of a parson, from the possessive case of Middle English persone, parsoun (see Parson).English : many early examples are found with prepositions (e.g. Ralph del Persones 1323); these are habitational names, with the omission of house, hence in effect occupational names for servants employed at the parson’s house.Irish : usually of English origin (see above), but sometimes a reduced Anglicized form of Gaelic Mac an Phearsain, which is of Highland Scottish origin (see McPherson).Members of an Irish family called Parsons wre twice created earl of Rosse, first in 1718 and again in 1806. They settled in Ireland c.1590, when two brothers, William and Laurence Parsons, were granted large estates. Birr Castle, Parsonstown, became the family seat. Samuel Holden Parsons, born Lyme, CT, in 1737 was a Connecticut legislator and revolutionary war officer. Theophilius Parsons (1750–1813) was born in Byfield, MA, and was chief justice of the MA supreme court (1806–13); his son, also Theophilius, was a professor at Harvard Law School (1848–1869).
Surname or Lastname
English, Scottish, and northern Irish
English, Scottish, and northern Irish : variant of Sand 1.Scottish : habitational name from Sands in Tulliallan in Fife.Comfort Sands, a revolutionary patriot born in 1748 at what is now Sands’ Point, Long Island, NY, was descended from James (Sandys) Sands (1622–95), who emigrated from Reading, Berkshire, England, to Plymouth, MA, and followed Anne Hutchinson to Westchester Co., NY, and subsequently RI. In 1661 he settled on Block Island, RI.
Surname or Lastname
English
English : habitational name from any of the places so called, in southwestern Lancashire (now Merseyside), Gloucestershire, Oxfordshire, Shropshire, and Devon, all of which are named from Old English prēost ‘priest’ + cot ‘cottage’, ‘dwelling’. The surname is most common in Lancashire, and so it seems likely that the first of these places is the most frequent source. It is also present in Ireland, being recorded there first in the 15th century.John Prescott of Standish, Lancaster, England, arrived in New England in 1640 and in 1643 was one of the first settlers of Lancaster, MA. His descendants include several prominent Americans of the revolutionary war, including Samuel Prescott, born in Concord, MA, in 1751, whose fame lies in completing the midnight ride of warning in 1775 after Paul Revere was captured.
Surname or Lastname
English
English : variant spelling of Hain 1–3.Isaac Hayne (1745–81) was an American revolutionary militia officer, executed by the British for breaking parole. He owned an ironworks and was manufacturing ammunition for the American forces when he was caught. His grandfather had emigrated from England to SC in about 1700.
Surname or Lastname
English
English : variant spelling of Read 1.An early American bearer of the common British name was George Reed who emigrated from England in 1635 with his son, William, and settled in Woburn, MA, several years later. His grandson James (1722–1807), a revolutionary war soldier who distinguished himself at the battle of Bunker Hill, moved to Fitzwilliam, NH, and was one of the original NH proprietors.
Surname or Lastname
English
English : from the Old Norse personal name Þorgils, composed of the name of the Norse god of thunder, Þorr + gils ‘hostage’, ‘pledge’. However, the inorganic initial s- is not easily explained; it may be the result of Old French influence.Edward Sturgis of England settled in Charlestown in 1634 and moved to Yarmouth, MA, in 1638. His descendants included a revolutionary war soldier and Cape Cod shipmaster, and a Massachusetts legislator.
Surname or Lastname
English and Dutch
English and Dutch : from the personal name (Greek Nikolaos, from nikÄn ‘to conquer’ + laos ‘people’). Forms with -ch- are due to hypercorrection (compare Anthony). The name in various vernacular forms was popular among Christians throughout Europe in the Middle Ages, largely as a result of the fame of a 4th-century Lycian bishop, about whom a large number of legends grew up, and who was venerated in the Orthodox Church as well as the Catholic. In English-speaking countries, this surname is also found as an Americanized form of various Greek surnames such as Papanikolaou ‘(son of) Nicholas the priest’ and patronymics such as Nikolopoulos.The colonial official and revolutionary patriot Robert Carter Nicholas was from a prominent VA family on both sides. His father was a British navy surgeon who emigrated in about 1700 from Lancashire, England, to Williamsburg, VA.
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
Girl/Female
Greek
Wanders far.
Surname or Lastname
English
English : variant of Rhodes.German : variant spelling of Rohde (see Rode), principally a habitational name from any of various places named Rohde or Rohden in Lower Saxony, Saxony, Westphalia, and Hesse.According to family tradition, a certain John Rhode (1752–1840) was a Quaker who came to SC from Germany in the 1770s and served as a baggageman or teamster during the American Revolution.
Female
Czechoslovakian
, peace glory.
Girl/Female
Arabic, Hebrew, Hindu, Indian, Kannada, Muslim, Tamil, Telugu
Air; Sweet Smelling Plant; Air of Heaven
Boy/Male
Tamil
One who is victorious
Girl/Female
Arabic, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Muslim, Tamil
Gift of God
Boy/Male
Biblical
Speaking, exalting, bitter, a lamb.
Girl/Female
Indian, Telugu
Sai for Lord Sai Baba and Tulasi for Medicinal Value of Basil Plant
Girl/Female
British, German, Indian
Daughter / Wife of King Varma
Boy/Male
Biblical
Bull of Africa, a fat bull.
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
EVOLUTIONARY MULTIMODAL-OPTIMIZATION
a.
Of or pertaining to a revolution in government; tending to, or promoting, revolution; as, revolutionary war; revolutionary measures; revolutionary agitators.
a.
Relating to evolution.
n.
The state of being in revolution; revolutionary doctrines or principles.
n.
One who desires to maintain existing institutions and customs; also, one who holds moderate opinions in politics; -- opposed to revolutionary or radical.
a.
Relating to evolution; as, evolutionary discussions.
a.
Pertaining to elocution.
a.
Signifying many different things; of manifold meaning; equivocal.
n.
The designation of a body of Maryland soldiers in the Revolutionary War, distinguished by a rich uniform.
a.
Pertaining to, or involving, sans-culottism; radical; revolutionary; Jacobinical.
n.
A person clothed in buckskin, particularly an American soldier of the Revolutionary war.
n.
A multivocal word.
n.
One who governs by terrorism or intimidation; specifically, an agent or partisan of the revolutionary tribunal during the Reign of Terror in France.
n.
The delivery before an audience of something committed to memory, especially as an elocutionary exhibition; also, that which is so delivered.
n.
A revolutionist.
n.
One of the notes, bills, or bonds, issued as currency by the revolutionary government of France (1790-1796), and based on the security of the lands of the church and of nobles which had been appropriated by the state.
n.
A game at cards, played by four persons, with two packs of fifty-two cards each; -- said to be so called from Boston, Massachusetts, and to have been invented by officers of the French army in America during the Revolutionary war.
a.
Of or pertaining to the Jacobins of France; revolutionary; of the nature of, or characterized by, Jacobinism.
n.
A theory or system of social reform which contemplates a complete reconstruction of society, with a more just and equitable distribution of property and labor. In popular usage, the term is often employed to indicate any lawless, revolutionary social scheme. See Communism, Fourierism, Saint-Simonianism, forms of socialism.
a.
Of or pertaining to the confederated colonies collectively, in the time of the Revolutionary War; as, Continental money.
n.
One of the marauders who, in the Revolutionary War infested the neutral ground between the American and British lines, and committed depredations on the Americans.