基于超平面实码遗传算法的灌溉制度优化设计

    Optimization of irrigation schedule based on hyperplane real coding genetic algorithm

    • 摘要: 针对传统实码遗传算法(RGA)在求解等式约束的优化问题时,存在精度低、易早熟的缺点,该文提出了超平面实码遗传算法(HRGA),在超平面内进行各种遗传操作的运算,并将改进后的遗传算法应用于作物最优灌溉制度问题之中。计算结果表明:应用超平面遗传算法解决等式约束的优化问题,不但方法简单、计算速度快,而且寻优精度明显高于传统实码遗传算法,大大提高了算法的性能,有较高的推广应用价值。

       

      Abstract: Because of the deficit of traditional real coding genetic algorithm for the optimization question with equality constraint, hyperplane real coding genetic algorithm was suggested. All genetic operations are constrainedinto a hyperplane. The new algorithm was used in rural practical optimization example. The model of optimization of crop irrigation schedule is developed. Results show that hyperplane real coding genetic algorithm is not onlysimple, but also accurate. It is a new efficient algorithm for the optimization question with equality constraint.

       

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