his work proposes two novel optimization algorithms called Salp Swarm Algorithm (SSA) and Multiobjective Salp Swarm Algorithm (MSSA) for solving optimization problems with single and multiple objectives. The main inspiration of SSA and MSSA 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.

Filename	Size	Update
SSA\func_plot.m	3000	2017-07-16
SSA\Get_Functions_details.m	7091	2017-07-16
SSA\initialization.m	1321	2017-07-16
SSA\main.m	2488	2017-07-16
SSA\SSA.jpg	115800	2017-07-16
SSA\SSA.m	3052	2017-07-16
SSA\SSA.pdf	3888735	2017-07-26

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