Journal of Global Optimization
Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
Locust swarms: a new multi-optima search technique
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Differential evolution: difference vectors and movement in solution space
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
An Analysis of Locust Swarms on Large Scale Global Optimization Problems
ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
Analyzing the role of "smart" start points in coarse search-greedy search
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
An analysis of sub-swarms in multi-swarm systems
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
A simple strategy to maintain diversity and reduce crowding in particle swarm optimization
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Hi-index | 0.00 |
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.