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Performing constraint compliant crossovers in population-based optimization

机译:在基于总体的优化中执行符合约束的交叉

摘要

An example system and method where some operations include determining constraint compliant values for each of a set of constrained variables of an optimization problem. The constraint compliant values comply with a constraint condition for the optimization problem. The operations can further include generating a population of constraint compliant candidate solutions for a computer-based simulation that implements a population-based optimization algorithm for the optimization problem. The candidate solutions use a subset of the constraint compliant values such that each of the candidate solutions comply with the constraint condition. Further, while running the computer-based simulation with the candidate solutions, determining that a child candidate solution created from two of the candidate solutions fails to comply with the constraint condition; and modifying the child candidate solution to use at least one value randomly selected from the compliant values such that the child candidate solution complies with the constraint condition.
机译:示例系统和方法,其中一些操作包括确定优化问题的一组约束变量中的每个约束约束值。约束兼容值符合优化问题的约束条件。所述操作可以进一步包括为基于计算机的仿真生成约束兼容的候选解决方案的总体,所述基于计算机的仿真实现针对所述优化问题的基于总体的优化算法。候选解决方案使用约束兼容值的子集,以使每个候选解决方案都符合约束条件。此外,在使用候选解运行基于计算机的模拟时,确定从两个候选解创建的子候选解不符合约束条件;修改子候选解决方案以使用从顺应值中随机选择的至少一个值,以使子候选解决方案符合约束条件。

著录项

  • 公开/公告号US8458106B2

    专利类型

  • 公开/公告日2013-06-04

    原文格式PDF

  • 申请/专利权人 JASON F. CANTIN;

    申请/专利号US20100828118

  • 发明设计人 JASON F. CANTIN;

    申请日2010-06-30

  • 分类号G06F15/18;

  • 国家 US

  • 入库时间 2022-08-21 16:43:06

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