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Applying a New Adaptive Genetic Algorithm to Study the Layout of Drilling Equipment in Semisubmersible Drilling Platforms

机译:应用新的自适应遗传算法研究半潜式钻井平台中钻井设备的布置

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摘要

This study proposes a new selection method called trisection population for genetic algorithm selection operations. In this new algorithm, the highest fitness of 2N/3 parent individuals is genetically manipulated to reproduce offspring. This selection method ensures a high rate of effective population evolution and overcomes the tendency of population to fall into local optimal solutions. Rastrigin's test function was selected to verify the superiority of the method. Based on characteristics of arc tangent function, a genetic algorithm crossover and mutation probability adaptive methods were proposed. This allows individuals close to the average fitness to be operated with a greater probability of crossover and mutation, while individuals close to the maximum fitness are not easily destroyed. This study also analyzed the equipment layout constraints and objective functions of deep-water semisubmersible drilling platforms. The improved genetic algorithm was used to solve the layout plan. Optimization results demonstrate the effectiveness of the improved algorithm and the fit of layout plans.
机译:这项研究提出了一种新的选择方法,称为三等分群体,用于遗传算法选择操作。在这种新算法中,对2N / 3个亲本个体的最高适应性进行了遗传控制以繁殖后代。这种选择方法可确保较高的有效种群进化率,并克服了种群陷入局部最优解的趋势。选择Rastrigin的测试功能来验证该方法的优越性。根据反正切函数的特点,提出了一种遗传算法交叉和变异概率自适应方法。这允许接近平均适应度的个体以更大的交叉和变异概率进行操作,而接近最大适应度的个体不容易被破坏。本研究还分析了深水半潜式钻井平台的设备布置约束和目标功能。改进的遗传算法用于求解布局规划。优化结果证明了改进算法的有效性和布局计划的适合性。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第9期|146902.1-146902.9|共9页
  • 作者单位

    China Univ Petr East China, Coll Mech & Elect Engn, Qingdao 266580, Peoples R China.;

    China Univ Petr East China, Coll Mech & Elect Engn, Qingdao 266580, Peoples R China.;

    China Univ Petr East China, Coll Mech & Elect Engn, Qingdao 266580, Peoples R China.;

    China Univ Petr East China, Coll Mech & Elect Engn, Qingdao 266580, Peoples R China.;

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