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  • Thumbnail for Particle swarm optimization
    Particle swarm optimization (category Optimization algorithms and methods)
    However, metaheuristics such as PSO do not guarantee an optimal solution is ever found. A basic variant of the PSO algorithm works by having a population...
    49 KB (5,222 words) - 08:44, 25 May 2025
  • Lagarias, and Claus-Peter Schnorr in 1986. The PSOS algorithm, developed by Ferguson in 1988. The PSLQ algorithm, developed by Ferguson and Bailey in 1992...
    9 KB (1,082 words) - 06:13, 14 April 2025
  • Thumbnail for Genetic algorithm
    genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)....
    69 KB (8,221 words) - 21:33, 24 May 2025
  • Thumbnail for Cockroach
    two of the most popular. This paper presents a new adaptation of the PSO algorithm, entitled Roach Infestation Optimization (RIO), that is inspired by...
    80 KB (8,386 words) - 04:23, 2 June 2025
  • Particle Swarm Optimization, implementing the particle swarm optimization (PSO) algorithm to identify/determine the crystal structure. As with other codes, knowledge...
    17 KB (1,454 words) - 11:18, 15 March 2025
  • firefly algorithm is a metaheuristic proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. In pseudocode the algorithm can be stated...
    5 KB (728 words) - 01:16, 9 February 2025
  • Thumbnail for Ant colony optimization algorithms
    computer science and operations research, the ant colony optimization algorithm (ACO) is a probabilistic technique for solving computational problems...
    77 KB (9,484 words) - 10:31, 27 May 2025
  • -G. Talbi. Gene Selection in Cancer Classification using PSO-SVM and GA-SVM Hybrid Algorithms. Archived 2016-08-18 at the Wayback Machine Congress on Evolutionary...
    58 KB (6,928 words) - 04:46, 9 June 2025
  • Thumbnail for List of metaphor-based metaheuristics
    metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing is a probabilistic algorithm inspired by annealing, a heat...
    42 KB (4,798 words) - 04:33, 2 June 2025
  • Thumbnail for Estimation of distribution algorithm
    Estimation of distribution algorithms (EDAs), sometimes called probabilistic model-building genetic algorithms (PMBGAs), are stochastic optimization methods...
    27 KB (4,075 words) - 04:21, 9 June 2025
  • Thumbnail for Evolutionary multimodal optimization
    Evolutionary multimodal optimization (category Evolutionary algorithms)
    Evolutionary algorithms encompasses genetic algorithms (GAs), evolution strategy (ES), differential evolution (DE), particle swarm optimization (PSO), and other...
    12 KB (1,292 words) - 04:42, 15 April 2025
  • Thumbnail for Swarm intelligence
    locate for better solutions. Particle swarm optimization (PSO) is a global optimization algorithm for dealing with problems in which a best solution can...
    46 KB (5,034 words) - 04:47, 9 June 2025
  • Thumbnail for Fly algorithm
    The Fly Algorithm is a computational method within the field of evolutionary algorithms, designed for direct exploration of 3D spaces in applications...
    31 KB (3,630 words) - 01:15, 13 November 2024
  • redundancy (it expands the message without adding information) and the algorithm is based on cyclic codes. CRCs are popular because they are simple to...
    71 KB (5,843 words) - 04:20, 13 April 2025
  • The brain storm optimization algorithm is a heuristic algorithm that focuses on solving multi-modal problems, such as radio antennas design worked on by...
    4 KB (494 words) - 16:42, 18 October 2024
  • Countries. Countries in this algorithm are the counterpart of Chromosomes in GAs and Particles in Particle Swarm Optimization (PSO) and it is an array of values...
    5 KB (626 words) - 05:46, 29 October 2024
  • Biogeography-based optimization (BBO) is an evolutionary algorithm (EA) that optimizes a function by stochastically and iteratively improving candidate...
    28 KB (3,458 words) - 15:02, 16 April 2025
  • Parallel metaheuristic (category Optimization algorithms and methods)
    population of solutions are evolutionary algorithms (EAs), ant colony optimization (ACO), particle swarm optimization (PSO), scatter search (SS), differential...
    14 KB (1,829 words) - 17:11, 1 January 2025
  • two swarm-based techniques (Gravitational Search Algorithm (GSA) and Particle Swarm Optimization (PSO)) to tackle the problem. Applications involving chemical...
    75 KB (9,566 words) - 14:50, 10 June 2025
  • Thumbnail for Neural network (machine learning)
    Unfortunately, these early efforts did not lead to a working learning algorithm for hidden units, i.e., deep learning. Fundamental research was conducted...
    169 KB (17,641 words) - 00:21, 11 June 2025
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