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RETAIL OPTIMIZATION FOR MARKDOWN

机译:降价的零售优化

摘要

Methods and system are disclosed that support optimization for markdown in retail domain to generate an optimized price for a product. The markdown optimization is mapped to a genetic algorithm. In one aspect, an initial population of candidate solutions initializes the execution of the genetic algorithm. Based on a fitness function associated with an objective, the genetic algorithm iteratively executes on the initial population of candidate solutions to compute a fitness score corresponding to each candidate solution. In another aspect, based on the fitness score, the candidate solutions are selected to breed or generate candidate solutions for next-generation. The genetic algorithm terminates when a termination condition is met and may generate a set of particularly desirable result set. In yet another aspect, particularly desirable result set is validated by applying constraints and the validated particularly desirable result set represents most desirable result set.
机译:公开了支持针对零售领域中的降价的优化以生成产品的优化价格的方法和系统。降价优化被映射到遗传算法。一方面,候选解决方案的初始种群初始化遗传算法的执行。基于与目标相关的适应度函数,遗传算法对候选解决方案的初始种群进行迭代执行,以计算与每个候选解决方案相对应的适应性得分。在另一方面,基于适合度得分,选择候选解决方案以繁殖或生成下一代的候选解决方案。遗传算法在满足终止条件时终止,并且可以生成一组特别理想的结果集。在另一方面,通过应用约束条件来验证特别期望的结果集,并且经验证的特别期望的结果集表示最期望的结果集。

著录项

  • 公开/公告号US2015161629A1

    专利类型

  • 公开/公告日2015-06-11

    原文格式PDF

  • 申请/专利权人 SUDHIR VERMA;

    申请/专利号US201314100014

  • 发明设计人 SUDHIR VERMA;

    申请日2013-12-09

  • 分类号G06Q30/02;

  • 国家 US

  • 入库时间 2022-08-21 15:27:08

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