Self-Adaptive Penalty Approach Compared with Other Constraint-Handling Techniques for Pipeline Optimization-Reference-Cited by-同舟云学术

Self-Adaptive Penalty Approach Compared with Other Constraint-Handling Techniques for Pipeline Optimization

Published:2005-05 Issue:3 Volume:131 Page:181-192
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Wu Z. Y.¹²,Walski T.¹²

Affiliation:

1. Lead Engineer, Bentley Systems, Inc., Haestad Methods Solution Center, Suite 200W, 27 Siemon Company Dr., Waterbury, CT 06795; formerly, Lead Engineer, Municipal Products Group, Bentley Systems, Inc., 37 Brookside Road, Waterbury, CT 06708.

2. Senior Advisory Product Manager, Bentley Systems, Inc., Haestad Methods Solution Center, Suite 200W, 27 Siemon Company Dr., Waterbury, CT 06795; formerly, Vice President, Engineering, Municipal Products Group, Bentley Systems, Inc., 37 Brookside Road, Waterbury, CT 06708.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9496%282005%29131%3A3%28181%29

Reference21 articles.

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2. Handling Constraints in Genetic Algorithms Using Dominance-based Tournaments

3. Deb K. and Agrawal S. (1999). “A niched-penalty approach for constraint handling in genetic algorithms.” Proc. of Int. Conf. on Artificial Neural Networks and Genetic Algorithims Control Theory and Applications Centre Country Univ. U.K.

4. Messy genetic algorithms: Motivation, analysis, and first results;Goldberg D. E.;Complex Syst.,1989

5. Goldberg D. E. Deb K. Kargupta H. and Harik G. (1993). “Rapid accurate optimization of difficult problems using fast messy genetic algorithms.” IlliGAL Report No. 93004 Illinois Genetic Algorithms Laboratory Univ. of Illinois at Urbana-Champaign Urbana Ill.

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