Performance Measurement for Interactive Multi-objective Evolutionary Algorithms

This paper suggests to use a different metric for performance of multiple-point interactive evolutionary multi-objective algorithms. We defined a preferred region based on a set of user's reference points. Based on the preferred region, we also define a User based Front (UbF) which is generated...

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Veröffentlicht in:	2015 Seventh International Conference on Knowledge and Systems Engineering (KSE) S. 302 - 305
Hauptverfasser:	Long Nguyen, Hung Nguyen Xuan, Lam Thu Bui
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2015
Schlagworte:	Convergence DMEA-II Evolutionary computation IGD Interactive EMO Measurement MOEA/D multi-point interactive Optical fibers Optimization Reference points Sociology Statistics
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