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    • 1. 发明申请
    • Resource assignment optimization using direct encoding and genetic algorithms
    • 使用直接编码和遗传算法的资源分配优化
    • US20070005522A1
    • 2007-01-04
    • US11370698
    • 2006-03-08
    • William Wren
    • William Wren
    • G06N3/12
    • G06N3/126G06Q10/06
    • This invention provides a means to minimize the costs of technical and business processes. These processes are comprised of resources and tasks requiring resources. The optimization consists of the best assignment of resources to tasks to minimize the costs. In the resource assignment optimization method disclosed herein, Genetically Adapted Search Agents (GASA) are employed to improve a population of possible assignments, each represented by a single variable length chromosome, where the chromosome upon which the GASA operates is a direct encoding of possible resource to task assignments and order. To manage the enlarged search space, this method uses the GASA with substring crossover to evolve the population towards better solutions. The assignments generated by this method satisfy all constraints.
    • 本发明提供了一种最小化技术和业务流程成本的手段。 这些过程由需要资源的资源和任务组成。 优化包括将资源分配到最小化成本的任务中。 在本文公开的资源分配优化方法中,使用遗传适应搜索代理(GASA)来改善可能分配的群体,每个可能的分配由单个可变长度染色体代表,其中GASA运行的染色体是可能资源的直接编码 到任务分配和命令。 为了管理扩大的搜索空间,该方法使用带有子串交换的GASA来将群体演化为更好的解决方案。 该方法生成的分配满足所有约束条件。