炼钢连铸铸件规划的自组织优化算法

Fan Yang, Guiguo Wang, Qi-qiang Li
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引用次数: 2

摘要

提出了铸件规划问题的数学模型和自组织优化算法,解决了铸件数量、炉料选择和炉料顺序等问题。将铸造计划问题建模为旅行推销员问题,其目标是使固定铸造费用、连续收费的连续铸造惩罚成本和未选择收费成本的总和最小。该自组织优化算法受协同学的启发,由竞争因子、合作算子和顺序参数组成。实例验证了该模型和自组织优化算法对铸件规划问题的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-organizing optimization algorithm for cast planning of steel making-continuous casting
The mathematical model and the self-organizing optimization algorithm are proposed to solve the cast planning problem which determines the cast number as well as the selection and the sequence of charges. The cast planning problem is modeled as the traveling salesman problem with the objective of the minimum of the sum of fixed cast fees, continuous-cast penalty costs of consecutive charges and unselected charges costs. The proposed self-organizing optimization algorithm, which is inspired by Synergetics, is composed of competition factor, cooperation operator and order parameters. The actual example shows the effectiveness of the model and the self-organizing optimization algorithm for the cast planning problem.
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