Genetic algorithm
In computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, etc.
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- enIn computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, etc.
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- enIn computer science and operations research, a genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA). Genetic algorithms are commonly used to generate high-quality solutions to optimization and search problems by relying on biologically inspired operators such as mutation, crossover and selection. Some examples of GA applications include optimizing decision trees for better performance, solving sudoku puzzles, hyperparameter optimization, etc.
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- Genetic algorithm
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- enGenetic algorithm
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- archive.org/details/adaptationinnatu00holl
- www.it-weise.de/projects/book.pdf
- mpatacchiola.github.io/blog/2017/03/14/dissecting-reinforcement-learning-5.html
- www.staracle.com/general/evolutionaryAlgorithms.php
- www-personal.umich.edu/~axe/research/Evolving.pdf
- cobweb.cs.uga.edu/~potter/CompIntell/ga_tutorial.pdf
- ghostarchive.org/archive/20221009/http:/cobweb.cs.uga.edu/~potter/CompIntell/ga_tutorial.pdf
- web.archive.org/web/20130615042000/http:/samizdat.mines.edu/ga_tutorial/ga_tutorial.ps
- archive.org/details/geneticprogrammi00wolf
- www2.econ.iastate.edu/tesfatsi/holland.gaintro.htm
- cs.gmu.edu/~sean/book/metaheuristics/
- www.i4ai.org/EA-demo/
- web.archive.org/web/20160303215222/http:/www.geneticprogramming.com/ga/index.htm
- www.sciencedirect.com/science/article/pii/S0304397598000048/pdf%3Fmd5=28a658a4dc5aef635bbf3c8560129925&pid=1-s2.0-S0304397598000048-main.pdf&_valck=1
- archive.org/details/TheSimpleG_00_Vose
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- Active learning (machine learning)
- Alan Turing
- Alex Fraser (scientist)
- Algorithm
- Ant colony optimization
- Artificial evolution
- Artificial selection
- Associative array
- Average information
- Bacteriologic algorithm
- Bin packing problem
- Bit array
- Candidate solution
- Cartesian genetic programming
- Category:Cybernetics
- Category:Digital organisms
- Category:Evolutionary algorithms
- Category:Genetic algorithms
- Category:Machine learning
- Category:Search algorithms
- Cellular automata
- Chromosomal inversion
- Chromosome
- Cluster analysis
- CMA-ES
- Computational fluid dynamics
- Computer science
- Computer simulation
- Convergence (evolutionary computing)
- Cross-entropy method
- Crossover (genetic algorithm)
- Cultural algorithm
- Data structure
- David B. Fogel
- Decision problem
- Decision tree learning
- Derivative-free optimization
- Differential evolution
- Emanuel Falkenauer
- Engineering
- Ergodicity
- Estimation of distribution algorithm
- Estimation of Distribution Algorithm
- Evolutionary algorithm
- Evolutionary algorithms
- Evolutionary Computation
- Evolutionary computing
- Evolutionary ecology
- Evolutionary programming
- Evolution strategy
- Evolver (software)
- Extremal optimization
- Feasible region
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- Fitness (biology)
- Fitness approximation
- Fitness function
- Fitness landscape
- Floating point
- Gaussian adaptation
- Gene expression programming
- Genetic algorithm scheduling
- Genetic drift
- Genetic operator
- Genetic programming
- Genetic representation
- Genotype
- Global optimization
- Global optimum
- Grammatical Evolution
- Gray coding
- Grouping genetic algorithm
- Hans-Joachim Bremermann
- Hans-Paul Schwefel
- Heuristic
- Hill climbing
- Holland's Schema Theorem
- Hyperparameter optimization
- Ingo Rechenberg
- Institute for Advanced Study
- Integer
- Integer linear programming
- Interactive evolutionary algorithm
- Interactive evolutionary computation
- Iteration
- John Henry Holland
- John Koza
- John Markoff
- Knapsack problem
- Lawrence J. Fogel
- Learning classifier system
- Linear genetic programming
- Linked list
- List (computing)
- List of genetic algorithm applications
- Local optima
- Local optimum
- Local search (optimization)
- Markov chain
- MATLAB
- Mean fitness
- Meme
- Memetic algorithm
- Metaheuristic
- Metaheuristics
- Multi expression programming
- Mutation (genetic algorithm)
- Natural selection
- Neural networks
- Nils Aall Barricelli
- No free lunch in search and optimization
- Object (computer science)
- Objective function
- Online optimization
- Operations research
- Optimization (mathematics)
- Parallel algorithm
- Particle filter
- Particle swarm optimization
- Phenotype
- Pittsburgh, Pennsylvania
- Population
- Princeton, New Jersey
- Propagation of schema
- Reinforcement learning
- Rule-based machine learning
- Schema (genetic algorithms)
- Search algorithm
- Selection (genetic algorithm)
- Simulated annealing
- Steven Skiena
- Stochastic optimization
- Stochastics
- Sudoku solving algorithms
- Swarm intelligence
- Tabu search
- The New York Times
- Tree (data structure)
- Universal Darwinism
- University of Michigan
- SameAs
- 4265092-6
- Algorisme genètic
- Algorithme génétique
- Algorithmus geneticus
- Algoritma genetik
- Algoritm genetic
- Algoritmo genetico
- Algoritmo genético
- Algoritmo genético
- Algoritmo xenético
- Algorytm genetyczny
- Geneetiline algoritm
- Geneettinen algoritmi
- Genetic algorithm
- Genetic algorithm
- Genetički algoritmi
- Genetický algoritmus
- Genetický algoritmus
- Genetiese algoritme
- Genetik algoritma
- Genetik alqoritmlər
- Genetikus algoritmus
- Genetinis algoritmas
- Genetisch algoritme
- Genetischer Algorithmus
- Ģenētiskais algoritms
- Genetisk algoritme
- Genetisk algoritme
- Genetski algoritam
- Giải thuật di truyền
- Lalgorit Geredik
- m.0b10y
- oMT3
- Q187787
- Γενετικοί Αλγόριθμοι
- Генетичен алгоритъм
- Генетический алгоритм
- Генетичний алгоритм
- אלגוריתם גנטי
- ئەلگۆریتمی جینەتیکی
- الگوریتم ژنتیک
- خوارزميات وراثية
- जेनेटिक एल्गोरिद्म
- বংশাণুভিত্তিক অ্যালগরিদম
- மரபுசார் படிமுறைத் தீர்வு
- ಅನುವಂಶಿಕ ಕ್ರಮಾವಳಿ
- ജനിതക അൽഗോരിതം
- ขั้นตอนวิธีเชิงพันธุกรรม
- 遗传算法
- 遺伝的アルゴリズム
- 유전 알고리즘
- SeeAlso
- List of genetic algorithm applications
- Subject
- Category:Cybernetics
- Category:Digital organisms
- Category:Evolutionary algorithms
- Category:Genetic algorithms
- Category:Machine learning
- Category:Search algorithms
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