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A parallel numerical method for solving optimal control problems based on whale optimization algorithm
DOI:10.1016/j.knosys.2018.03.024.png)
摘要
En 中文
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.
Keyword:
Optimal control
Whale optimization algorithm
Numerical solution
Parallel computing
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期刊
K
IF:
7.6
论文数:
1.2W
被引数:
4.5W
机构
引用论文
Data-based approximate policy iteration for affine nonlinear continuous-time optimal control design仿射非线性连续时间最优控制设计的基于数据的近似策略迭代
AUTOMATICA
IF5.9

