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This algorithm because of its simple structure and linear nature, has been applied to a large number of optimization problems from various diversified fields.
Jun 10, 2019 · The proposed algorithm has been applied to solve CEC2017 and CEC2019 benchmark problems. The numerical results prove that the newly proposed ...
New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters. Rohit ... This paper presents a new SALSHADE-cnEpSin algorithm based on Weibull ...
The method involves the evaluation of a 'reduced' difference equation whose coefficients are found to have the very useful property of being insensitive to ...
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overall, SALSHADE-cnEpSin algorithm performs better than all the other ... This paper presents a new SALSHADE algorithm based on linearly decreasing ...
Nov 4, 2022 · ... New improved SALSHADE-cnEpSin algorithm with adaptive parameters. In: 2019 IEEE congress on evolutionary computation (CEC). 10.1109/cec ...
The algorithm optimizes the search ability of individuals by mimicking the hunting behavior of sand cat groups in nature, thereby achieving robust optimization ...
The improved SALSHADE algorithm with global optimization linearly reduces the scaling factor and exponentially reduces the crossover rate and final Levy ...
Feb 28, 2024 · New improved SALSHADE-cnEpSin algorithm with adaptive parameters, in 2019 IEEE Congress on Evolutionary Computation (CEC), 3150–3156 (IEEE ...