TSP Search Algorithm Based on Hybrid Particle Swarm Optimization
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The TSP search algorithm based on hybrid particle swarm optimization is a computational method designed to solve the Traveling Salesman Problem. This algorithm integrates the global exploration capabilities of particle swarm optimization with local search techniques, enabling efficient discovery of near-optimal solutions for TSP. The implementation typically involves initializing particle positions representing potential routes, calculating fitness values using path distance evaluation, and iteratively updating particle velocities through social and cognitive components. For comprehensive technical explanations and coding tutorials, please consult the included documentation. Due to file size restrictions, high-resolution instructional materials are not included, but you may contact us via email at 1066146635@qq.com for additional assistance and enhanced learning resources.
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