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Selection strategies for initial positions and initial velocities in multi-optima particle swarms
conference contribution
posted on 2023-05-23, 08:55 authored by Chen, S, Erin MontgomeryErin MontgomeryStandard particle swarm optimization cannot guarantee convergence to the global optimum in multi-modal search spaces, so multiple swarms can be useful. The multiple swarms all need initial positions and initial velocities for their particles. Several simple strategies to select initial positions and initial velocities are presented. A series of experiments isolates the effects of these selected initial positions and velocities compared to random initial positions and velocities. A first set of experiments shows how locust swarms benefit from “scouting” for initial positions and the use of initial velocities that “launch away” from the previous optimum. A second set of experiments show that the performance of WoSP (Waves of Swarm Particles) can be improved by using new search strategies to select the initial positions and initial velocities for the particles in its sub-swarms.
History
Publication title
Proceedings of the 13th Annual Conference on Genetic and Evolutionary ComputationEditors
N KrasnogorPagination
53-60ISBN
978-1450312547Department/School
School of Information and Communication TechnologyPublisher
Association for Computing MachineryPlace of publication
United States of AmericaEvent title
Genetic and Evolutionary Computation Conference 2011Event Venue
Dublin, IrelandDate of Event (Start Date)
2011-07-12Date of Event (End Date)
2011-07-16Rights statement
Copyright 2011 ACMRepository Status
- Restricted