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GENERATING CONSTRAINT-COMPLIANT POPULATIONS IN POPULATION-BASED OPTIMIZATION

机译:在基于人口的优化中生成符合约束条件的人口

摘要

Some embodiments are directed to determining a plurality of sets of variables of an optimization problem, where a first set of the plurality of sets comprises a constrained variable constrained by a constraint condition indicated by a constraint description for the optimization problem and where a second set of the plurality of sets of variables comprises a non-constrained variable. Some embodiments are further directed to determining a plurality of constraint compliant values for the constrained variable that comply with the constraint condition and generating a plurality of non-constrained values for the non-constrained variable. Some embodiments are further directed to randomly combining individual ones of the plurality of constraint compliant values with individual ones of the plurality of non-constrained values into a plurality of value sets that satisfy the constraint description for the optimization problem. Some embodiments are further directed to running a computer based simulation that implements a population-based optimization algorithm with the plurality of value sets input as a population for the computer-based simulation.
机译:一些实施例涉及确定优化问题的多组变量,其中,所述多组中的第一组包括由针对所述优化问题的约束描述所指示的约束条件约束的约束变量。多个变量集包括非约束变量。一些实施例还针对确定用于约束变量的,符合约束条件的多个约束兼容值,以及生成用于非约束变量的多个非约束值。一些实施例还针对将多个约束顺应值中的各个与多个非约束值中的各个随机组合到满足优化问题的约束描述的多个值集中。一些实施例还针对于运行基于计算机的仿真,该计算机实现基于种群的优化算法,其中多个值集输入作为基于计算机的仿真的种群。

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