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A hybrid multi-objective artificial bee colony algorithm for burdening optimization of copper strip production

机译：铜带生产负荷优化的混合多目标人工蜂群算法

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摘要

To achieve burdening process optimization of copper strips effectively, a nonlinear constrained multi-objective model is established on the principle of the actual burdening.The problem is formulated with two objectives of minimizing the total cost of raw materials and maximizing the amount of waste material thrown into melting furnace. In this paper, a novel approach called "hybrid multi-objective artificial bee colony" (HMOABC) to solve this model is proposed. The HMOABC algorithm is new swarm intelligence based multi-objective optimization technique inspired by the intelligent foraging behavior of honey bees, summation of normalized objective values and diversified selection (SNOV-DS) and nondominated sorting approach. Two test examples were studied and the performance of HMOABC is evaluated in comparison with other nature inspired techniques which includes nondominated sorting genetic algorithm II (NSGAII) and multi-objective particle swarm optimization (MOPSO). The numerical results demonstrate HMOABC approach is a powerful search and optimization technique for burdening optimization of copper strips.
机译：为了有效地实现铜带的加料工艺优化，建立了基于实际加料原理的非线性约束多目标模型，提出了以降低原料总成本和增加废料量为两个目标的问题。进入熔炉。本文提出了一种解决该模型的新方法，称为“混合多目标人工蜂群”（HMOABC）。 HMOABC算法是一种新的基于群体智能的多目标优化技术，其灵感来自于蜜蜂的智能觅食行为，归一化目标值和多样化选择（SNOV-DS）的总和以及非优势排序方法。研究了两个测试示例，并与其他自然启发性技术（包括非支配排序遗传算法II（NSGAII）和多目标粒子群优化（MOPSO））进行了比较，评估了HMOABC的性能。数值结果表明，HMOABC方法是一种用于铜带优化的强大搜索和优化技术。

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  • 来源
    《Applied Mathematical Modelling》 |2012年第6期|p.2578-2591|共14页
  • 作者

    Hao Zhang; Yunlong Zhu; Wenping Zou; Xiaohui Yan;

  • 作者单位

    Key Laboratory of Industrial Informatics, Shenyang Institute of Automation of Chinese Academy of Sciences, 110016 Shenyang, China,Craduate School of the Chinese Academy of Sciences, 100039 Beijing, China;

    Key Laboratory of Industrial Informatics, Shenyang Institute of Automation of Chinese Academy of Sciences, 110016 Shenyang, China;

    Key Laboratory of Industrial Informatics, Shenyang Institute of Automation of Chinese Academy of Sciences, 110016 Shenyang, China,Craduate School of the Chinese Academy of Sciences, 100039 Beijing, China;

    Key Laboratory of Industrial Informatics, Shenyang Institute of Automation of Chinese Academy of Sciences, 110016 Shenyang, China,Craduate School of the Chinese Academy of Sciences, 100039 Beijing, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    hybrid multi-objective artificial bee colony; (HMOABC); artificial bee colony (ABC); burdening optimization; multi-objective optimization; copper strip production;

    机译：杂交多目标人工蜂群;人工蜂群;负担优化;多目标优化;铜带生产;

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