A Revised Pascoletti–Serafini Scalarization Method for Multiobjective Optimization Problems

The presented study deals with the scalarization techniques for solving multiobjective optimization problems. The Pascoletti–Serafini scalarization technique is considered, and it is attempted to sidestep two weaknesses of this method, namely the inflexibility of the constraints and the difficulties...

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Veröffentlicht in:	Journal of optimization theory and applications 2018-08, Vol.178 (2), p.560-590
Hauptverfasser:	Akbari, Fereshteh, Ghaznavi, Mehrdad, Khorram, Esmaile
Format:	Artikel
Sprache:	eng
Schlagworte:	Applications of Mathematics Calculus of Variations and Optimal Control Optimization Convexity Engineering Mathematical programming Mathematics Mathematics and Statistics Multiple objective analysis Operations Research/Decision Theory Optimization Pareto optimum Slack variables Theory of Computation
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