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首页> 外文期刊>Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies >APS 9: an improved adaptive population-based simplex method for real-world engineering optimization problems
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APS 9: an improved adaptive population-based simplex method for real-world engineering optimization problems

机译：APS 9：一种改进的基于自适应人口的单纯X方法，用于真实的世界工程优化问题

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摘要

The adaptive population-based simplex (APS) algorithm is a recently-proposed optimization method for solving continuous optimization problems. In this paper, a new variant of APS, referred to as APS 9, is proposed to solve engineering optimization problems. APS 9 still follows the main structure of APS where three strategies (i.e., reflection, contraction and local search) can be used to improve the population of solutions. However, the three strategies have been significantly modified and the rules for applying them have been revised. A stagnation detection mechanism and duplicates removal step have been added. The proposed method is compared with the winners of the IEEE CEC 2005 and CEC 2011 competitions on the 22 CEC 2011 problems. The results show the superiority of APS 9 compared to the other two methods. Moreover, APS 9 has been compared with two recent optimization methods on the same test bed. The limitations of the CEC 2011 competition are also discussed and new rules that are more engineering-friendly are proposed.
机译：基于自适应人群的单纯形（APS）算法是最近提出的优化方法，用于解决连续优化问题。本文提出了一种新的APS，称为APS 9的变体，以解决工程优化问题。 APS 9仍然遵循AP的主要结构，其中三种策略（即反思，收缩和本地搜索）可用于改善解决方案群体。但是，三项策略得到了重大修改，并修订了申请计划的规则。已经添加了停滞检测机制和重复的去除步骤。将该方法与2011年22日问题的IEEE CEC 2005 2005年和CEC 2011年比赛进行了比较。结果表明，与其他两种方法相比，APS 9的优越性。此外，APS 9已经与同一试验台上的两个优化方法进行了比较。还讨论了CEC 2011年竞争的局限性，并提出了更加工程友好的新规则。

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