On the Influence of the Number of Objectives on the Hardness of a Multiobjective Optimization Problem

In this paper, we study the influence of the number of objectives of a continuous multiobjective optimization problem on its hardness for evolution strategies which is of particular interest for many-objective optimization problems. To be more precise, we measure the hardness in terms of the evoluti...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on evolutionary computation Jg. 15; H. 4; S. 444 - 455
Hauptverfasser:	Schutze, O., Lara, A., Coello, C. A. C.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.08.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithm design Algorithmics. Computability. Computer arithmetics Applied sciences Approximation methods Computational modeling Computer science; control theory; systems Computer systems and distributed systems. User interface Convergence Decision theory. Utility theory Descent Evolution Evolutionary computation Exact sciences and technology Hardness many-objective optimization Measurement multiobjective optimization Operational research and scientific management Operational research. Management science Optimization Pareto optimality Remedies Scalability Software Strategy Studies Theoretical computing Cone Modal analysis Probabilistic approach Scalability Pareto optimum Evolutionary algorithm Empirical method Multiobjective programming many-objective optimization Vibration test Hardness Convex programming Optimization Dynamic test multiobjective optimization evolutionary computation Non differentiable programming Descent method Problem solving Algorithm design Mathematical programming
ISSN:	1089-778X, 1941-0026
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!