Title: Optimal allocation of water resources by multi-objective evolutionary algorithm based on decomposition

Authors: Wenjun Wang; Hui Wang

Addresses: School of Business Administration, Nanchang Institute of Technology, Nanchang 330099, China ' Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang 330099, China

Abstract: Optimal allocation of water resources (OAWR) is a constrained multi-objective optimisation problem, which aims to allocate limited water resources to different water-use departments and maximise the economic, social, and environmental benefits. Multi-objective evolutionary algorithm based on decomposition (MOEA/D) is a well-known multi-objective optimisation algorithm, which has shown excellent performance on various benchmark and practical problems. In this paper, we try to use MOEA/D to solve the OAWR problem with two objectives and multiple constraints. A normalised method is used to handle the equality constraint. To deal with inequality constraints, a penalty strategy is employed. Simulation results show that our approach can obtain good spacing of solution points along the Pareto front. According to the preferences, the decision makers can choose different allocation strategies from the Pareto front.

Keywords: optimisation; water resources; optimal allocation; decomposition; multi-objective optimisation.

DOI: 10.1504/IJWMC.2020.108531

International Journal of Wireless and Mobile Computing, 2020 Vol.18 No.4, pp.339 - 342

Received: 02 Oct 2019
Accepted: 31 Oct 2019

Published online: 03 Jul 2020 *

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