PSABC: A hybrid algorithm based on particle swarm and artificial bee colony for high-dimensional optimization problems
A hybrid algorithm (PSABC) based on PSO and ABC is proposed. PSABC examines the aging degree of pbest to decide which type of search phase. Particle swarm optimization (PSO) serves as a local search phase. Onlooker and modified scout bee from the ABC serves as two global search phases. Our algorithm is effective in solving high-dimensional optimization problems.
hybrid algorithm artificial bee colony high-dimensional optimization problems particle swarm optimization