Krahasoni metodat

	Algoritmi i Optimizimit të Balenave (WOA)	Optimizimi me Tufë Partikëlash (PSO)
Fusha	Optimizimi	Optimizimi
Familja	Process / pipeline	Process / pipeline
Viti i origjinës	2016	1995
Krijuesi	Seyedali Mirjalili & Andrew Lewis	—
Lloji	Swarm-based metaheuristic	Population-based metaheuristic / swarm intelligence
Burimi themelues	Mirjalili, S. & Lewis, A. (2016). The Whale Optimization Algorithm. Advances in Engineering Software, 95, 51-67.	Kennedy, J. & Eberhart, R. (1995). Particle Swarm Optimization. IEEE International Conference on Neural Networks (ICNN), 1942-1948.
Emërtime të tjera	WOA, Balina Optimizasyon Algoritması (WOA), bubble-net attacking method	PSO, swarm intelligence optimization, Parçacık Sürü Optimizasyonu (PSO)
Të lidhura	5	6
Përmbledhja	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.