Incorporating pheromone courtship mode into swarm intelligence with convergence analysis
Jiann-Horng Lin, Meei‐Ru Lin, Chun-Kai Wang · 2007
Abstract: In this paper, we incorporate pheromone courtship mode of biology to improve particle swarm optimizer. The particle swarm optimization technique has ever since turned out to be a competitor in the field of numerical optimization. A particle swarm optimization consists of a number of individuals refining their knowledge of the given search space. Particle swarm optimizations are inspired by particles moving around in the search space. The individuals in a particle swarm optimization thus have a position, a velocity and are denoted particles. The particle swarm optimization refines its search by attracting the particles to positions with good solutions. A new approach to particle motion in swarm optimization is developed. The living beings will release pheromone while seeking a spouse, use to attract the opposite sex to near. We tried to incorporate this kind of mode to solve the optimization problems. Preliminary simulation results show that the proposed method can solve the optimization problem with satistactory accuracy. Convergence analysis is investigated in this paper.