Abstract: Feature selection is a critical and prominent task in machine learning. To reduce the dimension of the feature set while maintaining the accuracy of the performance is the main aim of the ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

This sug-gests that robots first evaluate their environment us-ing a deterministic method before moving forward under the control of a stochastic algorithm. We evaluated the suggested hybrid technique ...