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.
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