A Review of Firefly Algorithms for Path Planning, Vehicle Routing and Traveling Salesman Problems

T. Chandrawati, R. F. Sari
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引用次数: 9

Abstract

This paper reviews the firefly algorithm and its implementation on path planning problems, vehicle routing problem and traveling salesman problem. Swarm Intelligence is an intelligence based on collective behavior in decentralized systems. One of the algorithms based on swarm intelligent is the firefly algorithm. Firefly algorithm is widely used to solve optimization problems. Many researchers share developed the standard firefly algorithm to solve the problems encountered due to the different characteristics of the problem. This condition raises several terms for the new algorithm, namely Modified Firefly Algorithm, Adaptive Firefly Algorithm, Discrete Firefly Algorithm, and Hybrid Firefly Algorithm. We explored different firefly algorithm to solve their common characteristics the path planning, vehicle routing problem, and traveling salesman problem which are path, time and distance optimization.
萤火虫算法在路径规划、车辆路径和旅行商问题中的研究进展
本文综述了萤火虫算法及其在路径规划问题、车辆路线问题和旅行商问题上的实现。群体智能是一种基于分散系统中集体行为的智能。基于群体智能的一种算法是萤火虫算法。萤火虫算法被广泛用于求解优化问题。许多研究人员共同开发了标准的萤火虫算法来解决由于问题的不同特征而遇到的问题。这种情况为新算法提出了几个术语,即修正萤火虫算法、自适应萤火虫算法、离散萤火虫算法和混合萤火虫算法。探讨了不同萤火虫算法解决路径规划、车辆路径问题和旅行商问题的共同特点,即路径、时间和距离优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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