The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …

Surrogate models replace computationally expensive simulations of physically‐based
models to obtain accurate results at a fraction of the time. These surrogate models, also …

During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …

During the last three decades, the water resources engineering field has received a
tremendous increase in the development and use of meta-heuristic algorithms like …

A new multiobjective formulation is proposed for the optimal design and rehabilitation of a
water distribution network, with minimization of life cycle cost and maximization of …

This paper reports the use of many-objective optimization for water distribution system
(WDS) design or rehabilitation problems. The term many-objective optimization refers to …

The paper develops an efficient macro-evolutionary multiobjective genetic algorithm
(MMGA) for optimizing the rule curves of a multi-purpose reservoir system in Taiwan. Macro …

This study contributes a many‐objective analysis of the tradeoffs associated with using the
portfolio planning approach for managing the urban water supply risks posed by growing …

This paper presents a novel multi-objective genetic algorithm (MOGA) based on the NSGA-II
algorithm, which uses metamodels to determine optimal sampling locations for installing …

Water resources planning and design problems, such as the sequencing of water supply
infrastructure, are often complicated by deep uncertainty, including changes in population …