A new adaptive tuned Social Group Optimization (SGO) algorithm with sigmoid-adaptive inertia weight for solving engineering design problems

Evolutionary algorithms have found enormous applications in solving real-world problems due to their stochastic nature. They have a set of control parameters, which are used to perform certain operations to induce randomness, scalar displacement etc. Various works have been done for tuning these parameters, as appropriate parameter tuning can enhance the performance of algorithm greatly. Inertia weights based parameter tuning is one of the...