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Genetic algorithm which repairs infeasible solutions by moving them into the closest part of the feasible solution area in solution space at each iteration

机译:遗传算法,通过在每次迭代中将不可行解移动到解决方案空间中可行解区域的最接近部分来修复

摘要

A computer implemented method for optimising an internal combustion engine operation using a genetic algorithm (GA) having an initial parent population contained within a search space the method comprising the steps of: determining an initial feasible solution space within the search space of the GA; creating a new child population from the initial parent population; determining for a child/individual in the child population if the child is within the feasible solution space, and if the child/individual is outside of the feasible solution space move/bring the child within the feasible solution space.
机译:一种使用遗传算法(GA)优化内燃机操作的计算机实现的方法,该遗传算法具有包含在搜索空间中的初始父种群,该方法包括以下步骤:确定GA搜索空间内的初始可行解空间;从最初的父母人口中创建一个新的儿童人口;确定该儿童是否在可行解空间内,以及该儿童/个体是否在可行解空间之外,以便在该人口中移动该孩子。

著录项

  • 公开/公告号GB2496288A

    专利类型

  • 公开/公告日2013-05-08

    原文格式PDF

  • 申请/专利权人 JAGUAR CARS LIMITED;

    申请/专利号GB20120019227

  • 发明设计人 MARK GOODMAN;

    申请日2012-10-25

  • 分类号G06N3/12;G06F17/50;

  • 国家 GB

  • 入库时间 2022-08-21 16:20:21

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