论文标题
使用测试功能的遗传算法配方和调整
Genetic algorithm formulation and tuning with use of test functions
论文作者
论文摘要
这项工作讨论了具有浮点，整数，二进制和置换表示形式的单瞄准性约束遗传算法。使用测试功能进行了浮点遗传算法调整，并导致具有相对出色的性能的参数化。
This work discusses single-objective constrained genetic algorithm with floating-point, integer, binary and permutation representation. Floating-point genetic algorithm tuning with use of test functions is done and leads to a parameterization with comparatively outstanding performance.
