A new adaptive tuned Social Group Optimization (SGO) algorithm with sigmoid-adaptive inertia weight for solving engineering design problems
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DOI: 10.1007/s11042-021-11266-4
Abstract: Evolutionary algorithms have found enormous applications in solving real-world problems due to their stochastic nature. They have a set of control parameters, which are used to perform certain operations to induce randomness, scalar displacement etc.… read more here.
Keywords: inertia weight; group optimization; social group; sigmoid adaptive ... See more keywords