出版社：Centro Latinoamericano de Estudios en Informática
摘要：Optimizing the pump-scheduling is an interesting proposal to achieve cost
reductions in water distribution pumping stations. As systems grow,
pump-scheduling becomes a very difficult task. In order to attack harder
pump-scheduling problems, this work proposes the use of parallel asynchronous
evolutionary algorithms as a tool to aid in solving an optimal
pump-scheduling problem. In particular, this work considers a pump-scheduling
problem having four objectives to be minimized: electric energy cost,
maintenance cost, maximum power peak, and level variation in a
reservoir. Parallel and sequential versions of different
evolutionary algorithms for multi-objective optimization were implemented
and their results compared using a set of experimental metrics.
Analysis of metric results shows that our parallel
asynchronous implementation of evolutionary algorithms is effective in
searching for solutions among a wide range of alternative optimal
pump schedules to choose from.
