Particle swarm optimization with dual-level task allocation
A PSO variant, i.e., PSODLTA is proposed to balance the global/local searches. DTA module allows the particle to perform different task in different dimension. ITA module is designed as the alternative learning mechanism for PSODLTA. PSODLTA has demonstrated competitive searching performance in optimization. Results show that PSODLTA outperforms other PSO variants and MS algorithms.
particle swarm optimization (pso) dual-level task allocation (dlta) dimension-level task allocation (dta) individual-level task allocation (ita) metaheuristic search (ms)