Title: Decision preference-based artificial bee colony algorithm for many-objective optimal allocation of water resources
Authors: Wenjun Wang; Hui Wang; Changyan Li
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 Business Administration, Nanchang Institute of Technology, Nanchang 330099, China
Abstract: Freshwater becomes a scarce resource because of the rapid growth of population and serious water pollution. Optimal allocation of water resources is an effective method to tackle this issue. In this paper, we consider a many objective water resources allocation problem with four objectives and several constraints. Unlike other many-objective optimisation problems, water resources allocation prefers the current situation (economy, resident life, or ecological environment). A decision preference-based algorithm may be suitable for the problem. So, a decision preference-based ABC is proposed for many-objective optimal allocation of water resources. Firstly, each objective is assigned a weight factor based on decision preferences. By weighted sum of four objectives, the many-objective water resources allocation problem is converted into a single objective optimisation problem. Then, an improved artificial bee colony (ABC) algorithm is used to solve the problem. Finally, different decision preferences are tested. Simulation experiments show our approach achieves promising results.
Keywords: water resources allocation; ABC; artificial bee colony; multistrategy; many-objective optimisation; global optimisation.
International Journal of Computing Science and Mathematics, 2020 Vol.12 No.4, pp.364 - 373
Received: 20 Mar 2020
Accepted: 12 May 2020
Published online: 26 Jan 2021 *