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الگوریتم کرم شب‌تاب×الگوریتم ژنتیک×
حوزهبهینه‌سازیبهینه‌سازی
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش20081975
پدیدآورXin-She YangJohn Henry Holland
نوعSwarm intelligence metaheuristicPopulation-based metaheuristic
منبع بنیادینYang, X.S. (2010). Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), 78-84. DOI ↗Holland, J.H. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press. link ↗
نام‌های دیگرFA, Firefly Optimization, Ateşböceği Algoritması (Firefly Algorithm)GA, evolutionary algorithm, Genetik Algoritma — Evrimsel Optimizasyon
مرتبط55
خلاصهThe Firefly Algorithm (FA), introduced by Xin-She Yang in 2008 and formally published in 2010, is a nature-inspired swarm metaheuristic that models the bioluminescent attraction behaviour of fireflies. Each candidate solution is a firefly whose brightness represents its objective-function value; dimmer fireflies move toward brighter ones with an attraction force that decays with distance, driving the swarm toward optima without gradient information.A genetic algorithm (GA) is a population-based metaheuristic optimization method introduced by John Henry Holland (1975) that mimics the principles of natural selection. It maintains a population of candidate solutions and iteratively improves them through selection, crossover, and mutation operators, making it especially powerful on discontinuous, non-convex, and multi-modal search spaces where classical gradient-based methods fail.
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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Firefly Algorithm · Genetic Algorithm. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare