Double Flight-Modes Particle Swarm Optimization. (16th December 2013)

• Record Type: Journal Article
• Authors: Yong, Wang; Jing-yang, Li; Chun-lei, Li
• Other Names: Chen Jein-Shan Academic Editor.
• Is Part Of: Journal of optimization. Volume 2013(2013)
• Publication Date: 2013-12-16
• Subjects: Mathematical optimization -- Periodicals; Structural optimization -- Periodicals; Mathematical optimization; Structural optimization; Periodicals; Electronic journals; 519.6
• DOI: 10.1155/2013/356420
• Languages: English
• ISSNs: 2356-752X

Abstract

Abstract : Getting inspiration from the real birds in flight, we propose a new particle swarm optimization algorithm that we call the double flight modes particle swarm optimization (DMPSO) in this paper. In the DMPSO, each bird (particle) can use both rotational flight mode and nonrotational flight mode to fly, while it is searching for food in its search space. There is a King in the swarm of birds, and the King controls each bird's flight behavior in accordance with certain rules all the time. Experiments were conducted on benchmark functions such as Schwefel, Rastrigin, Ackley, Step, Griewank, and Sphere. The experimental results show that the DMPSO not only has marked advantage of global convergence property but also can effectively avoid the premature convergence problem and has good performance in solving the complex and high-dimensional optimization problems.