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Subset of evolutionary computation
Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least
Evolutionary_algorithm
Competitive algorithm for searching a problem space
genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA) in
Genetic_algorithm
Genetic operation used to add population diversity
diversity of the chromosomes of a population of an evolutionary algorithm (EA), including genetic algorithms in particular. It is analogous to biological mutation
Mutation (evolutionary algorithm)
Mutation_(evolutionary_algorithm)
Set of parameters for a genetic or evolutionary algorithm
genotype in evolutionary algorithms (EA) is a set of parameters which define a proposed solution of the problem that the evolutionary algorithm is trying
Chromosome (evolutionary algorithm)
Chromosome_(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)
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)
Kind of evolutionary algorithm
A cellular evolutionary algorithm (cEA) is a kind of evolutionary algorithm (EA) in which individuals cannot mate arbitrarily, but every one interacts
Cellular evolutionary algorithm
Cellular_evolutionary_algorithm
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
Evolutionary algorithm with a defined structure
Evolutionary programming is an evolutionary algorithm, where a share of the new population is created by mutating the previous population without crossover
Evolutionary_programming
Optimization technique
of memetic algorithm is the use of a local search algorithm instead of or in addition to a basic mutation operator in evolutionary algorithms. A parallel
Metaheuristic
Algorithm for searching a problem space
operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary search for the optimum
Memetic_algorithm
Optimization algorithm
inferior quality being discarded. Estimation of distribution algorithm (EDA) An evolutionary algorithm that substitutes traditional reproduction operators by
Ant colony optimization algorithms
Ant_colony_optimization_algorithms
Set of all Pareto efficient situations
scalarization algorithm" or the method of weighted sums "The ϵ {\displaystyle \epsilon } -constraints method" Multi-objective Evolutionary Algorithms Since generating
Pareto_frontier
Population models of evolutionary algorithms
The population model of an evolutionary algorithm (EA) describes the structural properties of its population to which its members are subject. A population
Population model (evolutionary algorithm)
Population_model_(evolutionary_algorithm)
genetic algorithms) and tree-like ones (as in genetic programming). Evolutionary art Human-based evolutionary computation Human-based genetic algorithm Human–computer
Interactive evolutionary computation
Interactive_evolutionary_computation
Sequence of locally optimal choices
A greedy algorithm is an algorithm which, at each step, makes the choice that is locally optimal, and subsequently does not reconsider past choices. Greedy
Greedy_algorithm
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
Population-based search algorithm
computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in
Bees_algorithm
Mathematical concept
Algorithm II), uses non-dominated sorting and crowding distance for selection and diversity maintenance SPEA2 (Strength Pareto Evolutionary Algorithm
Multi-objective_optimization
Algorithm in computer image processing
Artificial Neural Networks and especially Deep Learning algorithms, but evolutionary algorithms such as particle swarm optimization can also be useful
Landmark_detection
Metaheuristic proposed by Xin-She Yang
nature-inspired algorithms" (PDF). Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation. pp
Firefly_algorithm
Optimization by removing non-optimal solutions to subproblems
methods that is used extensively for solving integer linear programs. Evolutionary algorithm Alpha–beta pruning A. H. Land and A. G. Doig (1960). "An automatic
Branch_and_bound
Algorithm in computer science
science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey
Artificial bee colony algorithm
Artificial_bee_colony_algorithm
AI-powered evolutionary coding agent
AlphaEvolve is an evolutionary coding agent for designing advanced algorithms based on large language models such as Gemini. It was developed by Google
AlphaEvolve
Artificial intelligence model developed by TypeSafe AI
learning Data mining Symbolic Deep learning Bayesian networks Evolutionary algorithms Neuro-symbolic AI Systems integration Open-source Open weights
Jev_(AI_model)
parallel problem Emergent algorithm Evolutionary algorithm Fast Fourier transform Genetic algorithm Graph exploration algorithm Heuristic Hill climbing
List of algorithm general topics
List_of_algorithm_general_topics
Finding multiple solutions of a problem
convergence to a single solution. The field of Evolutionary algorithms encompasses genetic algorithms (GAs), evolution strategy (ES), differential evolution
Evolutionary multimodal optimization
Evolutionary_multimodal_optimization
Study of the evolution of life
to new fields that are extensions of evolutionary biology, including evolutionary robotics, engineering, algorithms, economics, and architecture. The basic
Evolutionary_biology
Optimization algorithm
The Frank–Wolfe algorithm is an iterative first-order optimization algorithm for constrained convex optimization. Also known as the conditional gradient
Frank–Wolfe_algorithm
Antenna designed by an evolutionary computer algorithm
substantially by an automatic computer design program that uses an evolutionary algorithm that mimics Darwinian evolution. This procedure has been used since
Evolved_antenna
Sequential model-based optimization of expensive black-box functions
or mixed-variable criteria. Examples include genetic algorithms and other evolutionary algorithms, as well as sequential Monte Carlo methods. Several derivative-free
Bayesian_optimization
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
Cultural algorithms (CA) are a branch of evolutionary computation where there is a knowledge component that is called the belief space in addition to the
Cultural_algorithm
Method of mathematical optimization
Differential evolution (DE) is an evolutionary algorithm to optimize a problem by iteratively trying to improve a candidate solution with regard to a given
Differential_evolution
Evolutionary algorithm
problems. They belong to the class of evolutionary algorithms and evolutionary computation. An evolutionary algorithm is broadly based on the principle of
CMA-ES
Algorithm for linear programming
optimization, Dantzig's simplex algorithm (or simplex method) is an algorithm for linear programming. The name of the algorithm is derived from the concept
Simplex_algorithm
A. dos Santos-Paulino, J.-C. Nebel and F.Florez-Revuelta (2014) Evolutionary algorithm for dense pixel matching in presence of distortions, EvoStar Conference
List of genetic algorithm applications
List_of_genetic_algorithm_applications
first been developed in 1999 in the scope of the application of Evolutionary algorithms to computer stereo vision. Unlike the classical image-based approach
Fly_algorithm
Numerical optimization algorithm
shrink the simplex towards a better point. An intuitive explanation of the algorithm from "Numerical Recipes": The downhill simplex method now takes a series
Nelder–Mead_method
Family of stochastic optimization methods
class of evolutionary algorithms. The main difference between EDAs and most conventional evolutionary algorithms is that evolutionary algorithms generate
Estimation of distribution algorithm
Estimation_of_distribution_algorithm
Field of hardware development
evolutionary algorithms (EA) to create specialized electronics without manual engineering. It brings together reconfigurable hardware, evolutionary computation
Evolvable_hardware
Use of evolutionary algorithms for optimization problems with multiple objectives
Evolutionary multi-objective optimization (EMO), also called evolutionary multi-criterion optimization, is the application of evolutionary algorithms
Evolutionary multi-objective optimization
Evolutionary_multi-objective_optimization
Subfield of mathematical optimization
tractable, and so specialized algorithms that quickly rule out large parts of the search space or approximation algorithms must be resorted to instead.
Combinatorial_optimization
Optimization method
In numerical optimization, the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm is an iterative method for solving unconstrained nonlinear optimization
Broyden–Fletcher–Goldfarb–Shanno algorithm
Broyden–Fletcher–Goldfarb–Shanno_algorithm
Distributed Evolutionary Algorithms in Python (DEAP) is an evolutionary computation framework for rapid prototyping and testing of ideas. It incorporates
DEAP_(software)
Objective function of evolutionary algorithm
important component of evolutionary algorithms (EA), such as genetic programming, evolution strategies or genetic algorithms. An EA is a metaheuristic
Fitness_function
Topics referred to by the same term
selects an element from a set Selection (user interface) Selection (evolutionary algorithm) Selection (relational algebra) Preselection (or selection) of candidates
Selection
Algorithm to compute the maximum flow in a flow network
In computer science, the Edmonds–Karp algorithm is an implementation of the Ford–Fulkerson method for computing the maximum flow in a flow network in
Edmonds–Karp_algorithm
Form of artificial intelligence
neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules
Neuroevolution
Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining
Evolutionary_data_mining
Principle in artificial intelligence
defeat a world champion relied on a relatively simple alpha–beta search algorithm that scaled up by applying large amounts of specialized hardware to search
Bitter_lesson
Method of solving linear programming problems
linear programming problems using the simplex algorithm. The Big M method extends the simplex algorithm to problems that contain "greater-than" constraints
Big_M_method
American engineer and academic
primary area of research involves the development of evolutionary algorithms, including genetic algorithm for multi-objective optimization. He also works in
Peter_J._Fleming
Optimization algorithm
technique which belongs to the family of local search. It is an iterative algorithm that starts with an arbitrary solution to a problem, then attempts to
Hill_climbing
Functions used to evaluate optimization algorithms
Bäck, Thomas (1995). Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. Oxford: Oxford University
Test functions for optimization
Test_functions_for_optimization
Optimizing objective functions that have constrained variables
COP is a CSP that includes an objective function to be optimized. Many algorithms are used to handle the optimization part. A general constrained minimization
Constrained_optimization
Study of mathematical algorithms for optimization problems
evolution Dynamic relaxation Evolutionary algorithms Genetic algorithms Hill climbing with random restart Memetic algorithm Nelder–Mead simplicial heuristic:
Mathematical_optimization
Algorithm used to solve non-linear least squares problems
In mathematics and computing, the Levenberg–Marquardt algorithm (LMA or just LM), also known as the damped least-squares (DLS) method, is used to solve
Levenberg–Marquardt_algorithm
Engineering model
comparison-based surrogate models (e.g., ranking support vector machines) for evolutionary algorithms, such as CMA-ES, allow preservation of some invariance properties
Surrogate_model
Optimization algorithm
In operations research, cuckoo search is an optimization algorithm developed by Xin-She Yang and Suash Deb in 2009. It has been shown to be a special
Cuckoo_search
Method for aligning biological sequences
The Needleman–Wunsch algorithm is an algorithm used in bioinformatics to align protein or nucleotide sequences. It was one of the first applications of
Needleman–Wunsch_algorithm
Subset of artificial intelligence
intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform
Machine_learning
Algorithm in computer science
In computer science, evolution strategy (ES) is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic
Evolution_strategy
Increase in stock value
artificial intelligence that normalizes the data. Evolutionary programming is often paired with other algorithms e.g. artificial neural networks to improve the
IPO_underpricing_algorithm
Form of Newton's method used in statistics
Scoring algorithm, also known as Fisher's scoring, is a form of Newton's method used in statistics to solve maximum likelihood equations numerically,
Scoring_algorithm
Reward-based selection is a technique used in evolutionary algorithms for selecting potentially useful solutions for recombination. The probability of
Reward-based_selection
Sequence of operations for a task
In mathematics and computer science, an algorithm (/ˈælɡərɪðəm/ ) is any well-defined set of instructions that when followed terminates after a finite
Algorithm
Selection technique used in evolutionary algorithms
or spinning wheel selection, is a selection technique used in evolutionary algorithms for selecting potentially useful solutions for recombination. In
Fitness proportionate selection
Fitness_proportionate_selection
Software environment
environment for heuristic and evolutionary algorithms, developed by members of the Heuristic and Evolutionary Algorithm Laboratory (HEAL) at the University
HeuristicLab
Overview of and topical guide to machine learning
learning Evolutionary multimodal optimization Expectation–maximization algorithm FastICA Forward–backward algorithm GeneRec Genetic Algorithm for Rule
Outline_of_machine_learning
Zhang, Boosting Data-Driven Evolutionary Algorithm With Localized Data Generation in IEEE Transactions on Evolutionary Computation, doi: 10.1109/TEVC
Fitness_approximation
Concept in artificial intelligence
unveiled AlphaEvolve, an evolutionary coding agent that uses a LLM to design and optimize algorithms. Starting with an initial algorithm and performance metrics
Recursive_self-improvement
Algorithm for solving the quadratic programming problem from training SVMs
Sequential minimal optimization (SMO) is an algorithm for solving the quadratic programming (QP) problem that arises during the training of support-vector
Sequential minimal optimization
Sequential_minimal_optimization
Algorithm for computing the maximal flow of a network
Dinic's algorithm or Dinitz's algorithm is a strongly polynomial algorithm for computing the maximum flow in a flow network, conceived in 1970 by Israeli
Dinic's_algorithm
Optimization algorithm
an optimization algorithm in the collection of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno algorithm (BFGS) using a limited
Limited-memory_BFGS
Embodied approach to artificial intelligence
This evolutionary algorithm continues until a prespecified amount of time elapses or some target performance metric is surpassed. Evolutionary robotics
Evolutionary_robotics
Component of an evolutionary algorithm
optional components of an evolutionary algorithm (EA). An EA reproduces essential elements of biological evolution as a computer algorithm in order to solve demanding
Genotypic and phenotypic repair
Genotypic_and_phenotypic_repair
Art generated by an iterated process
Evolutionary art is a branch of generative art, in which the artist does not do the work of constructing the artwork, but rather lets a system do the construction
Evolutionary_art
Genetic algorithm for making artificial neural networks
control tasks, the NEAT algorithm often arrives at effective networks more quickly than other contemporary neuro-evolutionary techniques and reinforcement
Neuroevolution of augmenting topologies
Neuroevolution_of_augmenting_topologies
Chinese text-to-video model
learning Data mining Symbolic Deep learning Bayesian networks Evolutionary algorithms Neuro-symbolic AI Systems integration Open-source Open weights
Kling_AI
Methods in numerical computation
as Kaps–Rentrop methods. Rosenbrock search is a numerical optimization algorithm applicable to optimization problems in which the objective function is
Rosenbrock_methods
Technique for finding an extremum of a function
but very robust. The technique derives its name from the fact that the algorithm maintains the function values for four points whose three interval widths
Golden-section_search
Mexican computer scientist
Information Technology, and researcher at the CINVESTAV. His paper "Evolutionary algorithms for solving multi-objective problems" has been cited over 7,800
Carlos_A._Coello_Coello
The B-Cell Algorithm Artificial immune system Biologically inspired computing Computational immunology Computational intelligence Evolutionary computation
Clonal_selection_algorithm
Artificial organism
perform a specific task, using a process of trial and error (an evolutionary algorithm). Xenobots have been designed to walk, swim, push pellets, carry
Xenobot
The Bat algorithm is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behaviour of microbats, with varying pulse
Bat_algorithm
Indian computer scientist academic
textbook written by Deb titled Multi-Objective Optimization using Evolutionary Algorithms as part of its series titled "Systems and Optimization". In an
Kalyanmoy_Deb
Audio counterpart to evolutionary art
Evolutionary music is the audio counterpart to evolutionary art, whereby algorithmic music is created using an evolutionary algorithm. The process begins
Evolutionary_music
Computer system simulating intelligence
Eiben, A.E.; Smith, J.E. (2015). "Popular Evolutionary Algorithm Variants". Introduction to Evolutionary Computing. Natural Computing Series. Berlin
Computational_intelligence
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
Sub-area of digital image processing
Evolutionary image processing (EIP) is a sub-area of digital image processing. Evolutionary algorithms (EA) are used to optimize and solve various image
Evolutionary_image_processing
Mathematical optimization problem restricted to integers
Branch and bound algorithms have a number of advantages over algorithms that only use cutting planes. One advantage is that the algorithms can be terminated
Integer_programming
Type of algorithm for constrained optimization
Theoretical and Numerical Constraint-Handling Techniques Used with Evolutionary Algorithms: A Survey of the State of the Art. Comput. Methods Appl. Mech.
Penalty_method
Linear programming algorithm
Karmarkar's algorithm is an algorithm introduced by Narendra Karmarkar in 1984 for solving linear programming problems. It was the first reasonably efficient
Karmarkar's_algorithm
Selection method in genetic algorithms
In evolutionary algorithms, tournament selection is a method of selecting an individual from a population of individuals Tournament selection involves
Tournament_selection
Mathematical algorithm
optimization algorithm that successively minimizes along coordinate directions to find the minimum of a function. At each iteration, the algorithm determines
Coordinate_descent
Numerical approximation algorithm
hill climbing, Newton's method, or quasi-Newton methods like BFGS, is an algorithm of an iterative method or a method of successive approximation. An iterative
Iterative_method
Conference on evolutionary computation
The IEEE Congress on Evolutionary Computation is a research conference for practitioners in the field of evolutionary computation, interpreted broadly
IEEE Congress on Evolutionary Computation
IEEE_Congress_on_Evolutionary_Computation
of fewer large changes Interactive evolutionary computation Kosorukoff, A. (2001). "Human based genetic algorithm". 2001 IEEE International Conference
Human-based evolutionary computation
Human-based_evolutionary_computation
The Fireworks Algorithm (FWA) is a swarm intelligence algorithm that explores a very large solution space by choosing a set of random points confined
Fireworks_algorithm
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EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
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 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 : 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.
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
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.
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi
Couregeous; Revolutionary; Drifting about; Revolution
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
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
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 : 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 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, 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 : 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 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.
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 : 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.
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
EVOLUTIONARY ALGORITHM
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