University Of Tasmania

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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 Montgomery
Standard 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.


Publication title

Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation


N Krasnogor






School of Information and Communication Technology


Association for Computing Machinery

Place of publication

United States of America

Event title

Genetic and Evolutionary Computation Conference 2011

Event Venue

Dublin, Ireland

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2011 ACM

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the information and computing sciences