Summary
International Symposium on Nonlinear Theory and its Applications
2017
Session Number:C0L-C
Session:
Number:C0L-C-2
A Piecewise-Linear Particle Swarm Optimizer with Locally-Coupled Topology
Tomoyuki Sasaki, Hidehiro Nakano,
pp.580-583
Publication Date:2017/12/4
Online ISSN:2188-5079
Summary:
We proposed a deterministic particle swarm optimizer, called piecewise-linear particle swarm optimizer (PPSO). In PPSO, each particle has two search modes which are a convergence mode and a divergence mode, and switches both search modes irregularly. PPSO is effective to solve non-separable problems, however, it has not been clarified how dynamics of particles contribute to solving performances for the non-separable problems. Herein we suggest an effectiveness of dynamics of particles to solve non-separable problems, in order to enhance global search ability for non-separable problems, introducing a neighborhood topology between particles to PPSO. We compare the solving performances of PPSO with those of other deterministic PSO methods, and classic PSO in the numerical simulations.