PICEA-g using an enhanced fitness assignment method

The preference-inspired co-evolutionary algorithm using goal vectors (PICEA-g) has been demonstrated to perform well on multi-objective problems. The superiority of PICEA-g originates from the smart fitness assignment, that is, candidate solutions are co-evolved with goal vectors along the search. I...

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Veröffentlicht in:	2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM) S. 72 - 77
Hauptverfasser:	ZhiChao Shi, Rui Wang, Tao Zhang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.12.2014
Schlagworte:	Benchmark testing Evolutionary computation fitness assignment multi-objective optimization Pareto optimization Sociology Vectors
Online-Zugang:	Volltext
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