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- W2465078833 abstract "In this paper a novel physically inspired non-gradient algorithm is developed for solution of global optimization problems. The algorithm being called Water Evaporation Optimization (WEO) mimics the evaporation of a tiny amount of water molecules on the solid surface with different wettability which can be studied by molecular dynamics simulations. WEO is tested and analyzed in comparison to other existing methods on three sets of continuous test problems, a set of 17 benchmark unconstrained functions (consisting of three types of functions: unimodal, multimodal, and shifted and rotated functions), a set of 13 classical benchmark constraint functions, and three benchmark constraint engineering problems, reported in the specialized literature. The results obtained indicate that the proposed technique is highly competitive with other efficient well-known metaheuristics. The features used in WEO are analyzed and its potential implications for real size constrained engineering optimization problems are discussed in details." @default.
- W2465078833 created "2016-07-22" @default.
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- W2465078833 date "2016-04-01" @default.
- W2465078833 modified "2023-10-16" @default.
- W2465078833 title "Water Evaporation Optimization: A novel physically inspired optimization algorithm" @default.
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- W2465078833 doi "https://doi.org/10.1016/j.compstruc.2016.01.008" @default.
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