摘要
由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-调查人员讨论机器人学的新发现。根据NewsRx编辑的来自阿尔及利亚布利达的消息，该研究指出：“本文提出了一种分四阶段的混合方法来解决工业机器人多目标轨迹规划问题，第一阶段通过对连续机器人配置变量采用适当的参数化方案，将原问题转化为标准的多目标参数优化问题。”我们的新闻记者从Saad Dahlab Univers Iity的研究中获得了一句话，"然后，在第二阶段，使用基于种群的搜索元启发式进行全局搜索，以建立Paret O前线(PF)的第一近似值。在第三阶段，最后，在第四阶段，收集全局搜索和局部搜索的结果，并采用多目标的PF搜索方法对其进行后处理，以提高折衷解的质量并使其向真正的最优PF收敛。我们不仅要改进优化算法的整体搜索机制，而且所得到的混合算法在保持基于POPULL算法的鲁棒性的同时，还要享受确定性组件的收敛性，并且该方法具有模块化和灵活性，可以根据不同阶段的应用技术以不同的方式实现。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Robotics. A ccording to news originating from Blida, Algeria, by NewsRx editors, the researc h stated, “In this paper, a hybrid approach organized in four phases is proposed to solve the multi-objective trajectory planning problem for industrial robots. In the first phase, a transcription of the original problem into a standard mul ti-objective parametric optimization problem is achieved by adopting an adequate parametrization scheme for the continuous robot configuration variables.” Our news journalists obtained a quote from the research from Saad Dahlab Univers ity, “Then, in the second phase, a global search is performed using a population -based search metaheuristic in order to build a first approximation of the Paret o front (PF). In the third phase, a local search is applied in the neighborhood of each solution of the PF approximation using a deterministic algorithm in orde r to generate new solutions. Finally, in the fourth phase, results of the global and local searches are gathered and postprocessed using a multi-objective direc t search method to enhance the quality of compromise solutions and to converge t oward the true optimal PF. By combining different optimization techniques, we in tend not only to improve the overall search mechanism of the optimization strate gy but also the resulting hybrid algorithm should keep the robustness of the pop ulation-based algorithm while enjoying the theoretical properties of convergence of the deterministic component. Also, the proposed approach is modular and flex ible, and it can be implemented in different ways according to the applied techn iques in the different phases.”
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