他的工作提出了两种新的优化算法Salp-Swarm算法（SSA）和多目标Salp-Swarm算法（MSSA）来解决单目标和多目标优化问题。SSA和MSSA的主要启示是salps在海洋中航行和觅食时的群集行为。这两种算法在多个数学优化函数上进行了测试，以观察和证实它们在寻找优化问题最优解方面的有效性。
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.
资源文件列表
SSA/func_plot.m , 3000
SSA/Get_Functions_details.m , 7091
SSA/initialization.m , 1321
SSA/main.m , 2488
SSA/SSA.jpg , 115800
SSA/SSA.m , 3052
SSA/SSA.pdf , 3888735