Also known as: Multi swarm Optimization Β· Multi-swarm Optimisation
Multi-swarm optimization is an optimization approach that uses multiple interacting or independently evolving swarms to search a solution space. It is often used to improve exploration, avoid local optima, and solve complex optimization problems.
A variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm. The general approach in multi-swarm optimization is that each sub-swarm focuses on a specific region while a specific diversification method decides where and when to launch the sub-swarms. The multi-swarm framework is especially fitted for the optimization on multi-modal problems, where multiple (local) optima exist.