Symbiotic Particle Swarm Optimization for Neural Fuzzy Controllers
Cheng-Hung Chen, Wen-Hsien Chen · International Journal of Machine Learning and Computing · 2014
This study proposes a symbiotic particle swarm optimization (SPSO) for the specific neural fuzzy controller (NFC).The specific NFC model using compensatory fuzzy operators of neural fuzzy networks makes fuzzy logic systems more adaptive and effective.The proposed SPSO adopts a multiple swarm scheme that uses each particle represents a single fuzzy rule and each particle in each swarm evolves separately to avoid falling in a local optimal solution.Furthermore, the SPSO embeds the symbiotic evolution scheme in a specific particle swarm optimization (PSO) to accelerate the search and increase global search capacity.