On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization-Reference-Cited by-同舟云学术

On the Convergence of Adaptive Stochastic Search Methods for Constrained and Multi-objective Black-Box Optimization

Published:2016-07-18 Issue:3 Volume:170 Page:932-959
ISSN:0022-3239
Container-title:Journal of Optimization Theory and Applications
language:en
Short-container-title:J Optim Theory Appl

Author:

Regis Rommel G.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization

Link

http://link.springer.com/content/pdf/10.1007/s10957-016-0977-z.pdf

Reference29 articles.

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3. Fonseca, C.M., Fleming, P.J.: Genetic algorithms for multiobjective optimization: formulation, discussion and generalization. In: Forrest, S. (ed.) Proceedings of the Fifth International Conference on Genetic Algorithms, pp. 416–423. Morgan Kaufmann, San Mateo, CA (1993)

4. Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)

5. Solis, F.J., Wets, R.J.B.: Minimization by random search techniques. Math. Oper. Res. 6(1), 19–30 (1981)

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