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A parallel numerical method for solving optimal control problems based on whale optimization algorithm

机译:基于鲸鱼优化算法的最优控制问题并行数值方法

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Development of a numerical algorithm for solving optimal control problems is reported in this article. The method is a combination of multi-staging of the original problem to a finite dimensional optimization problem and the recently proposed Whale Optimization Algorithm (WOA). The method is proposed to reduce the required number of iterations. The parallel implementation is also proposed and discussed. Numerical examples are given to check the validity and accuracy of the proposed method. Results show that method converges to the exact solution with accuracy comparable to other numerical methods. Note that the source codes are publicly available at http://www.alimirjalili.com/SourceCodes/WOA4OCP.zip. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文报道了用于解决最优控制问题的数值算法的开发。该方法是将原始问题的多阶段分解为有限维优化问题以及最近提出的鲸鱼优化算法(WOA)的组合。提出该方法以减少所需的迭代次数。还提出并讨论了并行实现。数值算例验证了该方法的有效性和准确性。结果表明,该方法收敛到精确解,其准确性可与其他数值方法媲美。请注意,源代码可从http://www.alimirjalili.com/SourceCodes/WOA4OCP.zip公开获得。 (C)2018 Elsevier B.V.保留所有权利。

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