পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| হোয়েল অপটিমাইজেশন অ্যালগরিদম (WOA)× | পার্টিকেল সোয়ার্ম অপ্টিমাইজেশন (PSO)× | |
|---|---|---|
| ক্ষেত্র | অনুকূলকরণ | অনুকূলকরণ |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 2016 | 1995 |
| প্রবর্তক≠ | Seyedali Mirjalili & Andrew Lewis | — |
| ধরন≠ | Swarm-based metaheuristic | Population-based metaheuristic / swarm intelligence |
| মৌলিক উৎস≠ | Mirjalili, S. & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51-67. DOI ↗ | Kennedy, J. & Eberhart, R. (1995). Particle Swarm Optimization. IEEE International Conference on Neural Networks (ICNN), 1942-1948. DOI ↗ |
| অপর নাম | WOA, Balina Optimizasyon Algoritması (WOA), bubble-net attacking method | PSO, swarm intelligence optimization, Parçacık Sürü Optimizasyonu (PSO) |
| সম্পর্কিত≠ | 5 | 6 |
| সারসংক্ষেপ≠ | The Whale Optimization Algorithm (WOA) is a swarm-based metaheuristic introduced by Mirjalili and Lewis in 2016. It models the bubble-net hunting strategy of humpback whales, in which a group of whales spirals around prey while gradually tightening the encirclement. The algorithm balances global exploration and local exploitation through a small set of parameters and has become widely used in continuous engineering optimisation problems. | Particle Swarm Optimization (PSO) is a population-based metaheuristic algorithm introduced by Kennedy and Eberhart in 1995, inspired by the collective movement of bird flocks and fish schools. Each candidate solution — called a particle — moves through the search space by updating its velocity and position based on its own best experience and the best experience of the entire swarm, enabling fast convergence across continuous optimization problems. |
| ScholarGateডেটাসেট ↗ |
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