Title: Firefly algorithm for multi-objective optimal allocation of water resource

Authors: Wenjun Wang; Dongxiao Liu; Hui Wang

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

Abstract: Firefly algorithm (FA) is a new optimisation technique based on swarm intelligence, which has been successfully applied to various optimisation areas. In this paper, a new FA variant is proposed to solve multi-objective optimal allocation of water resource, in which three objectives, including economic, social, and environmental benefits, are maximised. To obtain the Pareto fronts, the original FA is combined with the fast non-dominated sorting method used in NSGA-II. Simulation results show that our approach can achieve a good spacing of solution points along the Pareto front. According to the preferences, the decision makers can choose different allocation methods from the Pareto front.

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

DOI: 10.1504/IJICA.2017.088166

International Journal of Innovative Computing and Applications, 2017 Vol.8 No.4, pp.222 - 227

Received: 29 Jun 2016
Accepted: 30 Jan 2017
Published online: 27 Nov 2017 *

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