Optimal In Situ Bioremediation Design by Hybrid Genetic Algorithm-Simulated Annealing-Reference-Cited by-同舟云学术

Optimal In Situ Bioremediation Design by Hybrid Genetic Algorithm-Simulated Annealing

Published:2005-01 Issue:1 Volume:131 Page:67-78
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Shieh Horng-Jer¹²,Peralta Richard C.¹²

Affiliation:

1. Assistant Professor, Diwan College of Management, Dept. of Construction Management, 87-1, Nansh Li, Madou, Tainan, Taiwan.

2. Director, Water Dynamics Laboratory, Utah State Univ. Research Foundation, and Professor, Dept. of Biological and Irrigation Engineering, Utah State Univ., Logan, UT 84322.

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%3A1%2867%29

Reference78 articles.

1. On the convergence of ?Threshold Accepting?

2. Comparison of a genetic algorithm and mathematical programming to the design of groundwater cleanup systems

3. Optimal design of aquifer cleanup systems under uncertainty using a neural network and a genetic algorithm

4. Evolutionary Algorithms in Theory and Practice

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