Hybrid Genetic Algorithm for Elimination of Severe Stress Concentration in Railhead Ends-Reference-Cited by-同舟云学术

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Hybrid Genetic Algorithm for Elimination of Severe Stress Concentration in Railhead Ends

Published:2015-09 Issue:5 Volume:29 Page:04014075
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Zong Nannan¹,Dhanasekar Manicka²

Affiliation:

1. Research Engineer, School of Civil Engineering and Built Environment, Queensland Univ. of Technology (QUT), Brisbane, QLD 4001, Australia.

2. Professor, School of Civil Engineering and Built Environment, QUT, Brisbane, QLD 4001, Australia (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000374

Reference24 articles.

1. Evolutionary computation: comments on the history and current state

2. Solving constraint satisfaction problems using hybrid evolutionary search

3. The effect of proximity of a rail end in elastic-plastic contact between a wheel and a rail

4. Contact stress variations near the insulated rail joints

5. Hybrid genetic algorithm in the optimization of energy costs in water supply networks

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