particleswarmoptimization1995

Particle Swarm Optimization is an algorithm capable of optimizing a non-linear and multidimensional problem which usually reaches good solutions efficiently ...

由 M Imran 著作 · 2013 · 被引用 217 次 — Particle swarm optimization (PSO) is a stochastic algorithm used for the optimization problems proposed by Kennedy [1] in 1995. It is a very good technique ...

Kennedy, J. and Eberhart, R. (1995) Particle Swarm Optimization. Proceedings of the IEEE International Conference on Neural Networks, 4, 1942-1948.

In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate ...

Particle swarm optimization (PSO) is a methodology inspired by the choreography of a bird flock. It is a distributed-behavior algorithm that performs ...

由 J Kennedy 著作 · 被引用 83323 次 — This paper describes the particle swarm optimization concept in terms of its precursors, briefly reviewing the stages of its development from social simulation ...

由 AG Gad 著作 · 2022 · 被引用 294 次 — PSO is a swarm-based stochastic algorithm proposed originally by Kennedy and Eberhart [44, 91], which exploits the concepts of the social ...

由 J Kennedy 著作 · 1995 · 被引用 83323 次 — Abstract: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several paradigms is ...

粒子群最佳化（Particle Swarm Optimization, PSO），又稱粒子群演算法、微粒群演算法，是由J. Kennedy 和R. C. Eberhart 等於1995年開發的一種演化計算技術，來源於對 ...