Multiobjective DC programs with infinite convex constraints

New results are established for multiobjective DC programs with infinite convex constraints (MOPIC) that are defined on Banach spaces (finite or infinite dimensional) with objectives given as the difference of convex functions. This class of problems can also be called multiobjective DC semi-infinit...

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Veröffentlicht in:	Journal of global optimization Jg. 59; H. 1; S. 41 - 58
Hauptverfasser:	Qu, Shaojian, Goh, Mark, Wu, Soon-Yi, De Souza, Robert
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer US 01.05.2014 Springer Springer Nature B.V
Schlagworte:	Banach space Banach spaces Computational mathematics Computer Science Convex analysis Direct current Duality theorem Euclidean space Investment analysis Joints Linear equations Mathematical analysis Mathematics Mathematics and Statistics Operations Research/Decision Theory Optimization Pareto efficiency Pareto optimality Pareto optimum Real Functions Studies Duality (weak) Pareto efficiency Optimality Saddle point Multiobjective DC programs with infinite convex constraints
ISSN:	0925-5001, 1573-2916
Online-Zugang:	Volltext
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