Embedding linear programming in multi objective genetic algorithms for reducing the size of the search space with application to leakage minimization in water distribution networks

2015 ◽  
Vol 69 ◽  
pp. 308-318 ◽  
Author(s):  
E. Creaco ◽  
G. Pezzinga
Keyword(s):  
Genetic Algorithms ◽  
Linear Programming ◽  
Water Distribution ◽  
Search Space ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Multi Objective

scholarly journals Redundant binary codes in genetic algorithms: multi-objective design optimization of water distribution networks

2020 ◽  
Author(s):  
Tiku T. Tanyimboh
Keyword(s):  
Genetic Algorithms ◽  
Design Optimization ◽  
Water Distribution ◽  
Optimization Problems ◽  
Search Space ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Binary Codes ◽  
Multi Objective ◽  
Binary Coding

Abstract Genetic algorithms have been shown to be highly effective for optimization problems in various disciplines, and binary coding is generally adopted as it is straightforward to implement and lends itself to problems with discrete-valued decision variables. However, a difficulty associated with binary coding is the existence of redundant codes that do not correspond to any element in the finite discrete set that the encoded parameter belongs to. A common technique used to address redundant binary codes is to discard the chromosomes in which they occur. Effective alternatives to the outright removal of redundant codes are lacking in the literature. This article presents illustrative examples based on the problem of optimizing the design of water distribution networks. Two benchmark networks in the literature and two different multi-objective design optimization models were considered. Different fixed mapping schemes gave significantly different solutions in the search space. The main inference from the results is that mapping schemes that improved diversity in the population of solutions achieved better results, which may pave the way for the development of practical and effective mapping schemes.

Multi-objective optimization of water distribution networks using particle swarm optimization

2021 ◽  
Vol 218 ◽  
pp. 18-31
Author(s):  
Douglas F. Surco ◽  
Diogo H. Macowski ◽  
Flávia A.R. Cardoso ◽  
Thelma P.B. Vecchi ◽  
Mauro A.S.S. Ravagnani
Keyword(s):  
Particle Swarm Optimization ◽  
Water Distribution ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Multi Objective

Self-adaptive multi-objective harmony search for optimal design of water distribution networks

2017 ◽  
Vol 49 (11) ◽  
pp. 1957-1977 ◽  
Author(s):  
Young Hwan Choi ◽  
Ho Min Lee ◽  
Do Guen Yoo ◽  
Joong Hoon Kim
Keyword(s):  
Optimal Design ◽  
Water Distribution ◽  
Harmony Search ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Multi Objective ◽  
Self Adaptive
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