A fast and inexpensive Particle Swarm Optimization for drifting problem-spaces

Abstract

Particle Swarm Optimization is a class of stochastic, population based optimization techniques which are mostly suitable for static problems. However, real world optimization problems are time variant, i.e., the problem space changes over time. Several researches have been done to address this dynamic optimization problem using Particle Swarms. In this… (More)

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