基于Crow搜索算法求解单连杆刚性机械臂最优控制问题的新方法

Venkata Satya Durga Manohar Sahu, Padarbinda Samal, C. Panigrahi
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引用次数: 1

摘要

本研究展示了如何运用元启发式优化规划来解决约束最优控制问题。以单连杆刚性机械臂(SLM)模型为例,将所提出的Crow搜索算法(CSA)与差分进化算法(DE)、鲸鱼优化算法(WOA)和粒子群优化算法(PSO)在性能指标上进行了对比,结果表明该算法的性能优于另一种算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Novel Technique Based on Crow Search Algorithm to Solve Optimal Control Problem of a Single-Link Rigid Robotic Manipulator
This study shows how Meta-heuristic optimization programming may be implemented to solve constrained optimal control problems. With a single-link rigid manipulator (SLM) model as an example, the proposed Crow search algorithm (CSA) is contrasted with the differential evolution algorithm (DE), whale optimization algorithm (WOA), and particle swarm optimization (PSO) in terms of performance index, which has demonstrated the notable outcomes on another algorithm.
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