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.