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- SSA his work proposes two novel optimization algorithms called Salp Swarm Algorithm () and Multiobjective Salp Swarm Algorithm (M) for solving optimization problems with single and multiple objectives. The main inspiration of and M is the swarming behaviour of salps when navigating and foraging in oceans. These two algorithms are tested on several mathematical optimization functions to observe and confirm their effective behaviours in finding the optimal solutions for optimization problems.
文件名称:yibudianji
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依据感应电机实际参数，利用MATLAB的M函数编写程序，并进行实际的仿真-Based on the actual parameters of the induction motor using MATLAB M-function programming, and the actual simulation
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yibudianji.m
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