Social Emotional Optimization Algorithm with Random Emotional Selection Strategy
نویسندگان
چکیده
With the industrial and scientific developments, many new optimization problems are needed to be solved. Several of them are complex, multi-modal, high dimensional, nondifferential problems. Therefore, some new optimization techniques have been designed, such as genetic algorithm, simulated annealing algorithm, Tabu search, etc. However, due to the large linkage and correlation among different variables, these algorithms are easily trapped to a local optimum and failed to obtain the reasonable solution.
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