A Multi-point Interactive Method for Multi-objective Evolutionary Algorithms

Many real-world optimization problems have more than one objective (and these objectives are often conflicting). In most cases, there is no single solution being optimized with regards to all objectives. Deal with such problems, Multi-Objective Evolutionary Algorithms (MOEAs) have shown a great pote...

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Veröffentlicht in:	2012 Fourth International Conference on Knowledge and Systems Engineering (KSE) S. 107 - 112
Hauptverfasser:	Long Nguyen, Lam Thu Bui
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2012
Schlagworte:	Educational institutions Electronic mail Evolutionary computation Information technology Interactive MOEA/D Multi-point Pareto optimization Reference point Vectors
ISBN:	9781467321716, 1467321710
Online-Zugang:	Volltext
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