Reliability-Constrained Optimization of Water Treatment Plant Design Using Genetic Algorithm-Reference-Cited by-同舟云学术

Reliability-Constrained Optimization of Water Treatment Plant Design Using Genetic Algorithm

Published:2010-03 Issue:3 Volume:136 Page:326-334
ISSN:0733-9372
Container-title:Journal of Environmental Engineering
language:en
Short-container-title:J. Environ. Eng.

Author:

Gupta Ajay Kumar¹²,Shrivastava Rakesh Kumar¹²

Affiliation:

1. Reader, Dept. of Civil Engineering, Ujjain Engineering College, Sanwer Rd., Ujjain (M.P.) 456010, India (corresponding author).

2. Professor, Dept. of Civil Engineering and Applied Mechanics, Shri G. S. Institute of Technology and Science, 23 Park Rd., Indore (M.P.) 452003, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Civil and Structural Engineering,Environmental Chemistry,Environmental Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EE.1943-7870.0000150

Reference33 articles.

1. Estimation of uncertainties in the performance indices of an oxidation ditch benchmark

2. Hybrid genetic algorithm solution to economic dispatch problem with multiple fuel option;Baskar S.;J. Inst. Eng. (India), Part AG,2001

3. Drinking Water Treatment Plant Design Incorporating Variability and Uncertainty

4. Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem

5. CPHEEO manual . (1991). Ministry of Urban Development New Delhi India 445–456.

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