Genetic algorithm with adaptive and dynamic penalty functions for the selection of cleaner production measures: a constrained optimization problem-Reference-Cited by-同舟云学术

Genetic algorithm with adaptive and dynamic penalty functions for the selection of cleaner production measures: a constrained optimization problem

Published:2006-04-08 Issue:2 Volume:8 Page:85-95
ISSN:1618-954X
Container-title:Clean Technologies and Environmental Policy
language:en
Short-container-title:Clean Techn Environ Policy

Author:

Dadios Elmer P.,Ashraf Jamshaid

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Environmental Chemistry,Environmental Engineering,General Business, Management and Accounting,Economics and Econometrics

Link

http://link.springer.com/content/pdf/10.1007/s10098-006-0036-9.pdf

Reference26 articles.

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3. Smith S, Stonier R (1996) Applying evolution program techniques to constrained continuous optimal control problems. In: Proceedings of IEEE international conference on evolutionary computation, Nagoya, Japan, May 20–22, 1996, pp 285–290

4. Koza JR, Bennett FH III, Andre D, Keane M (1996) Four Problems for which a computer program evolved by genetic programming is competitive with human performance. In: Proceedings of IEEE international conference on evolutionary computation, Nagoya, Japan, May 20–22, 1996, pp 1–10

5. Myung H, Kim JH (1996) Constrained optimization using two-phase evolutionary programming. Proceedings of IEEE international conference on evolutionary computation, Nagoya, Japan, May 20–22, 1996, pp 262–266

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