自然科学进展（英文版）
自然科學進展（英文版）
자연과학진전（영문판）
PROGRESS IN NATURAL SCIENCE
2008年
12期
1577-1582
,共6页
Apical-dominance phenomenon%Particle swarm optimization%Branch growth model%High-dimensional multi-modal benchmarks
Particle swarm optimization (PSO) is a new stochastic population-based search methodology by simulating the animal social behaviors such as birds flocking and fish schooling.Many improvements have been proposed within the framework of this biological assumption.However,in this paper,the search pattern of PSO is used to model the branch growth process of natural plants.It provides a different poten-tial manner from artificial plant.To illustrate the effectiveness of this new model,apical dominance phenomenon is introduced to construct a novel variant by emphasizing the influence of the phototaxis.In this improvement,the population is divided into three different kinds of buds associated with their performances.Furthermore,a mutation strategy is applied to enhance the ability escaping from a local optimum.Sim-ulation results demonstrate good performance of the new method when solving high-dimensional multi-modal problems.
