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Solving 0-1 Knapsack Problems by Binary Dragonfly Algorithm

机译:用二进制蜻蜓算法求解0-1背包问题。

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摘要

The 0-1 knapsack problem (0-1KP) is a well-known combinatorial optimization problem. It is an NP-hard problem which plays significant roles in many real life applications. Dragonfly algorithm (DA) a novel swarm intelligence optimization algorithm, inspired by the nature of static and dynamic swarming behaviors of dragonflies. DA has demonstrated excellent performance in solving multimodal continuous problems and engineering optimization problems. This paper proposes a binary version of dragonfly algorithm (BDA) to solve 0-1 knapsack problem. Experimental results have proven the superior performance of BDA compared with other algorithms in literature.
机译:0-1背包问题(0-1KP)是众所周知的组合优化问题。这是一个NP难题,在许多现实应用中都扮演着重要角色。蜻蜓算法(DA)是一种新颖的群体智能优化算法,其灵感来自于蜻蜓的静态和动态群体行为。在解决多峰连续问题和工程优化问题方面,DA已展示出卓越的性能。本文提出了一种蜻蜓算法(BDA)的二进制版本来解决0-1背包问题。实验结果证明了BDA与其他算法相比具有优越的性能。

著录项

  • 来源
  • 会议地点 Liverpool(GB)
  • 作者单位

    Head of Department of Operations Research, Faculty of Computers and Informatics, Zagazig University, Zagazig, Egypt;

    College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China ,Guangxi High School Key Laboratory of Complex System and Computational Intelligence, Nanning 530006, China;

    College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China;

    College of Information Science and Engineering, Guangxi University for Nationalities, Nanning 530006, China ,Guangxi High School Key Laboratory of Complex System and Computational Intelligence, Nanning 530006, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Dragonfly algorithm; Meta-heuristics; Combinatorial optimization; 0-1 knapsack problem;

    机译:蜻蜓算法;元启发式组合优化; 0-1背包问题;

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