A. S. Dalkılıç

Chaotic Sech–Tanh dynamic opposition-based learning for metaheuristic optimization. Part I: strategy development and validation on benchmark and engineering design problems

Abstract Metaheuristic optimization algorithms frequently struggle to maintain an effective balance between exploration and exploitation, particularly on high-dimensional problems where premature convergence and reduced population diversity degrade performance. Opposition-based Learning (OBL) is a widely used remedy, y...

Two level stochastic planning approach for renewable energy sources and capacitors allocation in distribution network considering network reconfiguration