Orthogonally-designed Adapted Grasshopper Optimization: A Comprehensive Analysis

•This paper proposes an improved variant of the grasshopper optimization algorithm.•Orthogonal learning and chaos-based exploitative search are introduced.•Extensive comparison using various datasets and benchmark problems are performed.•A new feature selection model is established using the proposed method.