পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ব্যাট অ্যালগরিদম× | ফায়ারফ্লাই অ্যালগরিদম× | |
|---|---|---|
| ক্ষেত্র | অনুকূলকরণ | অনুকূলকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2010 | 2008 |
| প্রবর্তক | Xin-She Yang | Xin-She Yang |
| ধরন≠ | Population-based swarm intelligence | Swarm intelligence metaheuristic |
| মৌলিক উৎস≠ | Yang, X.-S. (2010). A new metaheuristic bat-inspired algorithm. Nature Inspired Cooperative Strategies for Optimization (NICSO), 65–74. DOI ↗ | Yang, X.S. (2010). Firefly Algorithm, Stochastic Test Functions and Design Optimisation. International Journal of Bio-Inspired Computation, 2(2), 78-84. DOI ↗ |
| অপর নাম≠ | BA, Bat-Inspired Algorithm, Echolocation-Based Optimization, Yarasa Algoritması | FA, Firefly Optimization, Ateşböceği Algoritması (Firefly Algorithm) |
| সম্পর্কিত≠ | 3 | 5 |
| সারসংক্ষেপ≠ | The Bat Algorithm (BA) is a nature-inspired metaheuristic optimization method proposed by Xin-She Yang in 2010. It mimics the echolocation behavior of microbats to balance global exploration and local exploitation. Each artificial bat adjusts its position, velocity, and emission frequency, with loudness and pulse rate dynamically controlling the transition from broad search to refined local tuning. BA is suited to continuous and combinatorial optimization problems across engineering, scheduling, and machine learning domains. | The 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. |
| ScholarGateডেটাসেট ↗ |
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