2017 | OriginalPaper | Buchkapitel
16. Water Evaporation Optimization Algorithm
Abstract
Efficient metaheuristic optimization algorithms are developed to overcome the drawbacks of some traditional methods in highly nonlinear engineering optimization problems with high complexity, high dimension, and multimodal design spaces and to gain increasing popularity nowadays [1]. Performance assessment of a metaheuristic algorithm may be used by solution quality, computational effort, and robustness [2] directly affected by its two contradictory criteria: exploration of the search space (diversification) and exploitation of the best solutions found (intensification).
