Decision preference-based artificial bee colony algorithm for many-objective optimal allocation of water resources
by Wenjun Wang; Hui Wang; Changyan Li
International Journal of Computing Science and Mathematics (IJCSM), Vol. 12, No. 4, 2020

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.

Online publication date: Tue, 26-Jan-2021

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