A niching indicator-based multi-modal many-objective optimizer

Tanabe, Ryoji; Ishibuchi, Hisao

2019-09

10.1016/j.swevo.2019.06.001

Swarm and Evolutionary Computation   影响因子和分区

2210-6502

2210-6510

Multi-modal multi-objective optimization is to locate (almost) equivalent Pareto optimal solutions as many as possible. Some evolutionary algorithms for multi-modal multi-objective optimization have been proposed in the literature. However, there is no efficient method for multi-modal many-objective optimization, where the number of objectives is more than three. To address this issue, this paper proposes a niching indicator-based multi-modal multi- and many-objective optimization algorithm. In the proposed method, the fitness calculation is performed among a child and its closest individuals in the solution space to maintain the diversity. The performance of the proposed method is evaluated on multi-modal multi-objective test problems with up to 15 objectives. Results show that the proposed method can handle a large number of objectives and find a good approximation of multiple equivalent Pareto optimal solutions. The results also show that the proposed method performs significantly better than eight multi-objective evolutionary algorithms.

Multi-modal multi-objective optimization Many-objective optimization Indicator-based evolutionary algorithms Niching methods

SCI ; EI

英语

第一 ; 通讯

Program for University Key Laboratory of Guangdong Province[2017KSYS008]

Computer Science

Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods

WOS:000484871900011

ELSEVIER

20192507079075

Evolutionary algorithms ; Optimal systems ; Pareto principle

Optimization Techniques:921.5 ; Systems Science:961

Web of Science

Southern Univ Sci & Technol, Univ Key Lab Evolving Intelligent Syst Guangdong, Shenzhen Key Lab Computat Intelligence, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China

Tanabe, Ryoji,Ishibuchi, Hisao. A niching indicator-based multi-modal many-objective optimizer[J]. Swarm and Evolutionary Computation,2019,49:134-146.

Tanabe, Ryoji,&Ishibuchi, Hisao.(2019).A niching indicator-based multi-modal many-objective optimizer.Swarm and Evolutionary Computation,49,134-146.

Tanabe, Ryoji,et al."A niching indicator-based multi-modal many-objective optimizer".Swarm and Evolutionary Computation 49(2019):134-146.