有能力车辆路径问题的多线程布谷鸟搜索算法

Dominik Troxler, T. Hanne, Rolf Dornberger
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引用次数: 1

摘要

布谷鸟搜索是一种基于布谷鸟繁殖行为的仿生算法。这种元启发式方法有望解决有能力车辆路径问题。由于布谷鸟搜索算法比其他优化算法参数更少、结果更快,因此本文对标准有能力车辆路径问题进行了分析。目前正在研究一种新的方法,使用在多个CPU内核上运行的布谷鸟搜索的多线程变体,它允许优化周期的并行化。该方法使用标准的Java框架,并考虑到每个巢中有多个卵。定量分析了新的多线程变体与标准变体的比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Threaded Cuckoo Search Algorithm for the Capacitated Vehicle Routing Problem
Cuckoo search is a bio-inspired algorithm based on the reproduction behavior of some cuckoo species. This metaheuristics seems promising to solve the capacitated vehicle routing problem. This paper analyzes the standard capacitated vehicle routing problem because the cuckoo search enables faster results with fewer parameters than other optimization algorithms. A new approach using a multi-threaded variant of the cuckoo search running on multiple CPU cores is being investigated, which allows the parallelization of optimization cycles. The approach uses a standard Java framework and takes into account multiple eggs per nest. A quantitative analysis investigates the new multi-threading variant compared to the standard one.
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