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yanshuaiyin新虫 (正式写手)
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[求助]
求助摘要翻译+机械智能算法
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本人英语不好，自己翻译了一下，但还想让大神给修改下，非常感谢 中文摘要： 针对传统遗传算法在求解非线性规划问题时局部搜索能力较弱，惩罚函数求解精度不高的缺陷，将非线性规划算法引入到遗传算法中，提出一种基于动态惩罚函数的非线性规划遗传算法，将遗传算法的全局寻优能力和非线性规划算法的局部寻优能力结合起来，并引入动态惩罚函数，根据不可行点到可行域的距离和可行度自适应的调整惩罚项的值，从而能够快速求出全局最优解。文中介绍了动态惩罚函数的设计、改进遗传算法的关键技术和流程。最后，以某型号汽车变速器的优化设计为例验证了算法的合理性。与传统遗传算法相比，改进后的遗传算法解的质量、收敛速度明显提高，因而为遗传算法的改进提供了一种新的思路。 我的翻译：Aiming at the defects of weak local search and the penalty function low solution accuracy when solution the nonlinear programming problem, nonlinear programming algorithm is introduced to the Genetic Algorithm and it has been proposed a nonlinear programming genetic algorithm based on dynamic penalty function. Combining the capable of global optimization of the genetic algorithm and the capable of local optimization and introducing dynamic penalty function, the value of penalty term is modified adaptively based on the distance of infeasible points to feasible solution space and feasibility degree. The result make it easy to calculate the global optimal solution quickly. In this paper, the design of dynamic penalty function and the key technologies and process of improved genetic algorithms are introduced. Finally, the reasonability of algorithm is verified based on the example of the optimum design of a certain automobile gearbox. Compared with the traditional genetic algorithm, solution quality and converged speed of improved genetic algorithms’s are improved obviously,.As the result, a new way of thoughts is provided for genetic algorithm’s improve. |
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