Multiobjective evolutionary algorithms (MOEAs) have been widely used in real-world
applications. However, most MOEAs based on Pareto-dominance handle many-objective …

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 …

When solving constrained multiobjective optimization problems, an important issue is how to
balance convergence, diversity, and feasibility simultaneously. To address this issue, this …

Achieving balance between convergence and diversity is a key issue in evolutionary
multiobjective optimization. Most existing methodologies, which have demonstrated their …

Taking both convergence and diversity into consideration, this paper suggests a vector
angle-based evolutionary algorithm for unconstrained (with box constraints only) many …

Pipe bursts in water distribution networks lead to considerable water loss and pose risks of
bacteria and pollutant contamination. Pipe burst localisation methods help water service …

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

Optimisation of water distribution system design is a well-established research field, which
has been extremely productive since the end of the 1980s. Its primary focus is to minimise …

With the increasing attention paid to many-objective optimization in the evolutionary multi-
objective optimization community, various approaches have been proposed to solve many …

Various multiobjective evolutionary algorithms (MOEAs) have been applied to solve the
optimal design problems of a water distribution system (WDS). Such methods are able to …