萤火虫算法、Levy航班和全局Optimization
Firefly Algorithm, Levy Flights and Global Optimization
摘要：
自然启发的算法，如粒子群优化和萤火虫算法是最强大的优化算法之一。在本文中，我们打算制定一个新的元启发式算法相结合的Levy航班的搜索策略，通过萤火虫算法。数值研究和结果表明，建议的Levy飞行萤火虫算法优于现有的元启发式算法。最后将讨论进一步研究和更广泛的应用的影响。
英文摘要：
Nature-inspired algorithms such as Particle Swarm Optimization and Firefly Algorithm are among the most powerful algorithms for optimization. In this paper, we intend to formulate a new metaheuristic algorithm by combining Levy flights with the search strategy via the Firefly Algorithm. Numerical studies and results suggest that the proposed Levy-flight firefly algorithm is superior to existing metaheuristic algorithms. Finally implications for further research and wider applications will be discussed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
