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Using Branch Bound Concepts in Construction-Based Metaheuristics: Exploiting the Dual Problem Knowledge

机译:在基于施工的核心学中使用分支和绑定概念:利用双重问题知识

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In recent years it has been shown by means of practical applications that the incorporation of branch & bound concepts within construction-based metaheuristics can be very useful. In this paper, we attempt to give an explanation of why this type of hybridization works. First, we introduce the concepts of primal and dual problem knowledge, and we show that metaheuristics only exploit the primal problem knowledge. In contrast, hybrid metaheuristic that include branch & bound concepts exploit both the primal and the dual problem knowledge. After giving a survey of these techniques, we conclude the paper with an application example that concerns the longest common subsequence problem. Christian Blum acknowledges support from the Spanish CICYT project OPLINK (grant TIN-2005-08818-C04-01), and from the Ramón y Cajal program of the Spanish Ministry of Science and Technology of which he is a research fellow. Monaldo Mastrolilli acknowledges support from the Swiss National Science Foundation project 200021-104017/1, Power Aware Computing, and by the Swiss National Science Foundation project 200021-100539/1, Approximation Algorithms for Machine scheduling Through Theory and Experiments.
机译:近年来,它已经通过实际应用所显示的,即在基于施工的核心学中纳入分支机构的概念可能非常有用。在本文中,我们试图解释为什么这种类型的杂交作品。首先,我们介绍了原始和双重问题知识的概念,我们表明,弥撒只能利用原始问题知识。相比之下,包括分支和绑定概念的混合成分型攻击原始和双重问题知识。在对这些技术进行调查后,我们将本文与涉及最长常见后续问题的应用示例进行了结论。 Christian Blum认识到西班牙骑自行车项目Oplink的支持(Grant Tin-2005-08818-C04-01),以及来自西班牙科技部的RamónyCajal计划,他是一名研究员。 Monaldo Mastrilli承认瑞士国家科学基金会项目200021-104017 / 1,动力感知计算,以及瑞士国家科学基金会200021-100539 / 1,通过理论和实验的机器调度近似算法。

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