Multiobjective Optimization for Water Distribution System Design Using a Hyperheuristic

Abstract

Several modern multiobjective algorithms are compared with respect to the biobjective optimization of water distribution systems’ design, considering the objectives of cost minimization and reliability maximization. A new unbiased algorithmic comparison strategy is suggested using hypervolume convergence. A recent hyperheuristic named AMALGAM, which dynamically combines the strengths of multiple metaheuristics, is applied to this problem for the first time, demonstrating superior performance. The shortcomings of a novel multiobjective greedy algorithm are also demonstrated.