作者: Mike Preuss , Guenter Rudolph , Feelly Tumakaka
关键词: Evolutionary computation 、 Simple (abstract algebra) 、 Mathematics 、 Evolutionary algorithm 、 Phase detector 、 Local search (optimization) 、 Quality (business) 、 Mathematical optimization 、 Coupling (computer programming) 、 Function (mathematics)
摘要: For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: 'What is elsewhere?' an implicit second criterion in order keep populations distributed over search space. Induced a practical problem that appears be simple but not easily solved, multiobjective algorithm proposed for problems. It employs explicit diversity as objective. Experimental comparison with standard methods suggests fast and reliable coupling it local technique straightforward leads enormous quality gain. combined still may especially valuable costly target function evaluations.