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  • Thumbnail for Genetic algorithm
    search). Genetic algorithms are a sub-field: Evolutionary algorithms Evolutionary computing Metaheuristics Stochastic optimization Optimization Evolutionary...
    69 KB (8,221 words) - 21:33, 24 May 2025
  • Thumbnail for Algorithm
    to perform a computation. Algorithms are used as specifications for performing calculations and data processing. More advanced algorithms can use conditionals...
    61 KB (7,016 words) - 08:11, 13 June 2025
  • Thumbnail for Evolutionary algorithm
    Quality–Diversity algorithms – QD algorithms simultaneously aim for high-quality and diverse solutions. Unlike traditional optimization algorithms that solely...
    41 KB (4,553 words) - 23:21, 14 June 2025
  • Thumbnail for Combinatorial optimization
    algorithms that quickly rule out large parts of the search space or approximation algorithms must be resorted to instead. Combinatorial optimization is...
    18 KB (1,847 words) - 03:45, 24 March 2025
  • Thumbnail for Ant colony optimization algorithms
    operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems that can be reduced to finding...
    77 KB (9,484 words) - 10:31, 27 May 2025
  • learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is...
    24 KB (2,527 words) - 11:18, 7 June 2025
  • Thumbnail for List of metaphor-based metaheuristics
    similarities with the estimation of distribution algorithms. Particle swarm optimization is a computational method that optimizes a problem by iteratively trying...
    42 KB (4,798 words) - 04:33, 2 June 2025
  • Quantum optimization algorithms are quantum algorithms that are used to solve optimization problems. Mathematical optimization deals with finding the best...
    25 KB (3,576 words) - 21:07, 9 June 2025
  • Thumbnail for Mathematical optimization
    some set of available alternatives. It is generally divided into two subfields: discrete optimization and continuous optimization. Optimization problems...
    53 KB (6,155 words) - 23:42, 31 May 2025
  • classes of convex optimization problems admit polynomial-time algorithms, whereas mathematical optimization is in general NP-hard. A convex optimization problem...
    30 KB (3,171 words) - 12:53, 12 June 2025
  • Thumbnail for Particle swarm optimization
    In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate...
    49 KB (5,222 words) - 08:44, 25 May 2025
  • Thumbnail for Evolutionary computation
    Evolutionary computation from computer science is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial...
    27 KB (2,970 words) - 00:26, 29 May 2025
  • Metaheuristic (redirect from Meta-algorithm)
    optimization, evolutionary computation such as genetic algorithm or evolution strategies, particle swarm optimization, rider optimization algorithm and...
    48 KB (4,643 words) - 05:20, 15 April 2025
  • artificial landscapes, are useful to evaluate characteristics of optimization algorithms, such as convergence rate, precision, robustness and general performance...
    29 KB (795 words) - 21:59, 18 February 2025
  • computer science, local search is a heuristic method for solving computationally hard optimization problems. Local search can be used on problems that can be...
    8 KB (1,088 words) - 13:01, 6 June 2025
  • Bio-Inspired Algorithms (PBBIA). They include Evolutionary Algorithms, Particle Swarm Optimization, Ant colony optimization algorithms and Artificial...
    27 KB (2,979 words) - 23:27, 4 June 2025
  • science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more...
    32 KB (4,442 words) - 09:55, 14 May 2025
  • into computational specializations, this field of study includes: Algorithms (numerical and non-numerical): mathematical models, computational models...
    32 KB (3,387 words) - 21:27, 19 March 2025
  • Bayesian optimization is a sequential design strategy for global optimization of black-box functions, that does not assume any functional forms. It is...
    21 KB (2,323 words) - 14:01, 8 June 2025
  • Thumbnail for Greedy algorithm
    Combinatorial Optimization: Algorithms and Complexity. Dover. Wikimedia Commons has media related to Greedy algorithms. "Greedy algorithm", Encyclopedia of Mathematics...
    17 KB (1,918 words) - 15:30, 5 March 2025
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