Velocity clamping-assisted adaptive salp swarm algorithm: balance analysis and case studies.Salp swarm algorithm (SSA) is a recently proposed, powerful swarm-intelligence based optimizer, which is inspired by the unique foraging style of salps in oceans. 
Salp swarm algorithm
Velocity clamping-assisted adaptive salp swarm algorithm: balance analysis and case studies.Salp swarm algorithm (SSA) is a recently proposed, powerful swarm-intelligence based optimizer, which is inspired by the unique foraging style of salps in oceans. 
Velocity clamping-assisted adaptive salp swarm algorithm
To alleviate these deficiencies, a modified SSA (called VC-SSA) with velocity clamping strategy, reduction factor tactic, and adaptive weight mechanism is developed.  23 classical benchmark test problems, 30 complex optimization tasks from CEC 2017, and five engineering design problems are employed to authenticate the effectiveness of the developed VC-SSA.  The experimental results of VC-SSA are compared with a series of cutting-edge metaheuristics.  The comparisons reveal that VC-SSA provides better performance against the canonical SSA, SSA variants, and other well-established metaheuristic paradigms.  In addition, VC-SSA is utilized to handle a mobile robot path planning task.  The results show that VC-SSA can provide the best results compared to the competitors and it can serve as an auxiliary tool for mobile robot path planning.
VC-SSA