
Basin Hopping is a competitive option for global optimization, especially in complex problems.


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basin-hopping-performance-analysis-for-global-optimization


Basin Hopping Performance Analysis for Global Optimization


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Introducing a novel animal-inspired metaheuristic algorithm, ZSO, designed using a large language model and the CRISPE framework.


leveraging-large-language-model-for-metaheuristic-algorithm-design-with-crispe-framework


Leveraging Large Language Model for Metaheuristic Algorithm Design with CRISPE Framework



Water-based metaheuristics offer unique solutions to NP-hard problems by emulating water dynamics.


water-based-metaheuristics-solving-np-hard-problems-with-water-dynamics


Water-Based Metaheuristics: Solving NP-Hard Problems with Water Dynamics



The author presents a novel approach to solving the Close Enough Orienteering Problem by leveraging overlapped neighborhoods and introducing non-uniform cost considerations, resulting in efficient solutions.


solving-close-enough-orienteering-problems-with-overlapped-neighborhoods


Solving Close Enough Orienteering Problems with Overlapped Neighborhoods
