Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
نویسندگان
چکیده
Abstract To develop new meta-heuristic algorithms and evaluate on the benchmark functions is most challenging task. In this paper, performance of various developed are evaluated recently CEC 2021 functions. The objective parametrized by inclusion operators, such as bias, shift rotation. different combinations binary operators applied to which leads CEC2021 Therefore, considered solve with dimensions. some basic, advanced meta-heuristics that participated in competition have been experimentally investigated many observations, recommendations, conclusions reached. experimental results show parameterized operators.
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ژورنال
عنوان ژورنال: Neural Computing and Applications
سال: 2022
ISSN: ['0941-0643', '1433-3058']
DOI: https://doi.org/10.1007/s00521-022-07788-z