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Basin Hopping Performance Analysis for Global Optimization
Basin Hopping is a competitive option for global optimization, especially in complex problems.
Leveraging Large Language Model for Metaheuristic Algorithm Design with CRISPE Framework
Introducing a novel animal-inspired metaheuristic algorithm, ZSO, designed using a large language model and the CRISPE framework.
Water-Based Metaheuristics: Solving NP-Hard Problems with Water Dynamics
Water-based metaheuristics offer unique solutions to NP-hard problems by emulating water dynamics.
Solving Close Enough Orienteering Problems with Overlapped Neighborhoods
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.