Central to many of these strategies is Particle Swarm Optimization (PSO), a population‐based algorithm that mimics social interaction patterns for optimisation purposes.

Particle swarm optimization for pictures Particle swarm optimization (PSO) is a computer algorithm based on a mathematical model of the social interactions of swarms which was first described in 1995.

Examples include bio-inspired optimization techniques such as genetic algorithms and particle swarm optimization, and geometry-inspired techniques such as Nelder-Mead (also known as simplex, or amoeba ...

Examples include bio-inspired optimization techniques such as genetic algorithms and particle swarm optimization, and geometry-inspired techniques such as Nelder-Mead (also known as simplex, or amoeba ...

This study examines the optimization of the Job Shop Scheduling Problem (JSP) by a search space division scheme and use of the meta-heuristic method of Particle Swarm Optimization (PSO) to solve it.

In this paper, we propose to utilize particle swarm optimization (PSO) to obtain optimal parametric mapping relations for a general CMS problem, regardless of the distributional forms of the original ...

Use of a particle swarm optimization–analytic hierarchy process (PSO - AHP) and a comprehensive fuzzy evaluation of an expert questionnaire shows that these evaluation methods are highly applicable to ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...

Novel 'cuckoo search algorithm' beats particle swarm optimization in engineering design Date: May 28, 2010 Source: Inderscience Summary: The familiar early summer call of the cuckoo has inspired ...