Self-Adaptive Fitness Formulation for Evolutionary Constrained Optimization of Water Systems-Reference-Cited by-同舟云学术

Self-Adaptive Fitness Formulation for Evolutionary Constrained Optimization of Water Systems

Published:2005-04 Issue:2 Volume:19 Page:212-216
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Farmani Raziyeh¹²³⁴,Wright Jonathan A.¹²³⁴,Savic Dragan A.¹²³⁴,Walters Godfrey A.¹²³⁴

Affiliation:

1. Senior Research Fellow, School of Engineering, Computer Science and Mathematics, Univ. of Exeter, Exeter, EX4 4QF, UK. E-mail: r.farmani@exeter.ac.uk

2. Senior Lecturer, Dept. of Civil and Building Engineering, Loughborough Univ., Loughborough, Leicestershire, LE11 3TU, UK. E-mail: j.a.wright@lboro.ac.uk

3. Professor, School of Engineering, Computer Science and Mathematics, Univ. of Exeter, Exeter, EX4 4QF, UK. E-mail: d.savic@exeter.ac.uk

4. Professor, School of Engineering, Computer Science and Mathematics, Univ. of Exeter, Exeter, EX4 4QF, UK. E-mail: g.a.walters@exeter.ac.uk

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290887-3801%282005%2919%3A2%28212%29

Reference20 articles.

1. Abebe A. J. and Solomatine D. P. (1998). “Application of global optimization to the design of pipe networks.” Proc. 3rd Int. Conf. on Hydroinformatics Copenhagen Denmark 989–996.

2. Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art

3. Evolver. (1996). The genetic algorithm solver: Version 3.5 Axcelis Corp. Seattle.

4. Self-adaptive fitness formulation for constrained optimization

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