Adaptive hybrid differential evolution with local search: a robust global optimization approach

Key Points

• Enhanced global optimization capabilities were achieved with the adaptive hybrid differential evolution approach, improving solution accuracy.
• The method integrates local search techniques, yielding notable increases in robustness across various optimization challenges.
• This approach employs advanced algorithms to balance exploration and exploitation efficiently, optimizing performance.
• The findings emphasize the need for adaptable strategies in optimization to meet diverse problem requirements.