混合粒子群优化算法：解决交通网络设计问题的 FROG LEAPING 概念

2015 IEEE International Conference on Electro/Information Technology (EIT) Pub Date : 2015-05-21 DOI:10.1109/EIT.2015.7293437

Navid Afkar, A. Babazadeh

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引用次数: 1

摘要

交通网络设计问题（TNDP）是交通领域的一个重要问题。迄今为止，已有多种方法用于解决 TNDP 问题。粒子群优化算法（PSO）是元启发式搜索技术中的一种。本文尝试将 PSO 算法与蛙跳概念进行混合。在苏福尔斯网络上测试了应用混合算法的好处。

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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Hybridized Particle Swarm Optimization algorithm: FROG LEAPING concept for solving transportation network design problem

Transportation Network Design Problem (TNDP) is an important problem in transportation. Various approaches have been taken to solve TNDP up to now. Particle Swarm Optimization (PSO) is one of the metaheuristic search techniques to find the solution. This paper attempts to hybridize PSO algorithm with the frog leaping concept. The benefits of applying the hybridized algorithm have been tested on the Sioux Falls network which had been used in the previous efforts.

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2015 IEEE International Conference on Electro/Information Technology (EIT)

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