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yanshuaiyin新蟲 (正式寫手)
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[求助]
求助摘要翻譯+機(jī)械智能算法
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本人英語不好，自己翻譯了一下，但還想讓大神給修改下，非常感謝 中文摘要： 針對傳統(tǒng)遺傳算法在求解非線性規(guī)劃問題時(shí)局部搜索能力較弱，懲罰函數(shù)求解精度不高的缺陷，將非線性規(guī)劃算法引入到遺傳算法中，提出一種基于動(dòng)態(tài)懲罰函數(shù)的非線性規(guī)劃遺傳算法，將遺傳算法的全局尋優(yōu)能力和非線性規(guī)劃算法的局部尋優(yōu)能力結(jié)合起來，并引入動(dòng)態(tài)懲罰函數(shù)，根據(jù)不可行點(diǎn)到可行域的距離和可行度自適應(yīng)的調(diào)整懲罰項(xiàng)的值，從而能夠快速求出全局最優(yōu)解。文中介紹了動(dòng)態(tài)懲罰函數(shù)的設(shè)計(jì)、改進(jìn)遺傳算法的關(guān)鍵技術(shù)和流程。最后，以某型號汽車變速器的優(yōu)化設(shè)計(jì)為例驗(yàn)證了算法的合理性。與傳統(tǒng)遺傳算法相比，改進(jìn)后的遺傳算法解的質(zhì)量、收斂速度明顯提高，因而為遺傳算法的改進(jìn)提供了一種新的思路。 我的翻譯：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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