The Multi-Objective Differential Evolutionary Algorithms and its Application in Optimal Allocation of Water Resources

2012 ◽  
Vol 518-523 ◽  
pp. 4093-4096
Author(s):  
Yan Hong Long ◽  
Li Yang Yu
Keyword(s):  
Water Resources ◽  
Evolutionary Algorithms ◽  
Differential Evolution ◽  
Evolutionary Algorithm ◽  
Swarm Intelligence ◽  
Optimal Allocation ◽  
Differential Evolution Algorithm ◽  
Multi Objective ◽  
Evolution Algorithm ◽  
Optimization Search

Abstract: Differential evolution algorithm (differential evolution DE) is a multi-objective evolutionary algorithm based on groups， which instructs optimization search by swarm intelligence produced by co-operation and competition among individuals within groups. This paper presents it to the research of optimal allocation of water resources. Accord to the application of the example, the results shows that reasonable and effective.

Water Resources Optimal Allocation Based on Multi-Objective Differential Evolution Algorithm

2013 ◽  
Vol 278-280 ◽  
pp. 1271-1274 ◽  
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian
Keyword(s):  
Water Resources ◽  
Differential Evolution ◽  
Optimal Allocation ◽  
Search Algorithm ◽  
Differential Evolution Algorithm ◽  
Population Based ◽  
Allocation Model ◽  
Multi Objective ◽  
Regional Water ◽  
Water Resources Optimal Allocation

Differential evolution is a simple and powerful globally optimization new algorithm. It is a population-based, direct search algorithm, and has been successfully applied in various fields. Optimal allocation of water resources is an important part of the planning of water resources. Traditional planning methods prove insufficient for the multi-objective system of water resources. In this paper, multi-objective differential evolution(MODE) algorithm applied to the regional water resources optimal allocation, through definition of economic, social, Eco-environmental three objective function and the constraints, the regional water resources optimal allocation model has been established, and then multi-objective genetic algorithm is used to solve the model .The model gets different results for optimal allocation water resources of Ningxia in 2030(Guarantee rate of water supply 50% and 75%). The result of example proves that the method is reasonable and feasible in the application of region water resources optimal allocation.

Distance-based immune generalised differential evolution algorithm for dynamic multi-objective optimisation

2021 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
María Guadalupe Martínez Peñaloza ◽  
Efrén Mezura Montes ◽  
Alicia Morales Reyes ◽  
Hernán E. Aguirre
Keyword(s):  
Differential Evolution ◽  
Differential Evolution Algorithm ◽  
Multi Objective ◽  
Evolution Algorithm
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