Consolación Gil

TL;DR: A review of the current state of the art in computational optimization methods applied to renewable and sustainable energy can be found in this article, which offers a clear vision of the latest research advances in this field.

TL;DR: In this article, the authors reviewed the scientific production of renewable energies, namely, solar, wind, biomass, hydropower and geothermal, from 1979 to 2009, and analyzed the production of all the countries in the world, paying particular attention to renewable energies and research institutions.

TL;DR: MORPGEASA, a Pareto-based hybrid algorithm that combines evolutionary computation and simulated annealing, is proposed and analyzed for solving these multi-objective formulations of the VRPTW and the results obtained show the good performance of this hybrid approach.

TL;DR: Evaluated meta-heuristic techniques: genetic algorithms, simulated annealing, tabu search, and iterated local search were applied to a large irrigation water distribution network that has been proposed in a previous work to assess their performance in a practical application.

TL;DR: The procedure MT-PSA outperforms SPEA2 in the benchmarks here considered, with respect to the solution quality and execution time, and Computational results obtained on Solomon's benchmark problems show that the island-based parallelization produces Pareto-fronts of higher quality that those obtained by the sequential versions without increasing the computational cost.