Vibrating Particles System Algorithm: Overview, Modifications and Applications

Saman M. Almufti
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引用次数: 0

Abstract

Real-world problems are difficult enough to encourages academics to develop innovative, effective problem-solving methods. Generally, metaheuristics algorithms that are  inspired by nature, biology, and physics have a flexibility and capacity to adapt to different situations, metaheuristics based on evolutionary computation algorithms have been widely employed to solve complicated, constrained/unconstrained, single/multiple objective, and Non-deterministic polynomial hard (NP-Hard) optimization problems. This paper describes Vibrating Particles System (VPS) as a Physics Based metaheuristic algorithm inspired by the free vibration of an under-damping objects for solving complex and real-world optimization problems. Since the appearance of VPS many modifications for improving the performance of the algorithm and has been applied to various Applications in several fields. At the end of this paper, the improvements are listed.
振动粒子系统算法:概述、修正与应用
现实世界的问题足够困难,鼓励学者开发创新的、有效的解决问题的方法。一般来说,受自然、生物和物理启发的元启发式算法具有灵活性和适应不同情况的能力,基于进化计算算法的元启发式算法已被广泛应用于解决复杂、有约束/无约束、单/多目标和非确定性多项式困难(NP-Hard)优化问题。本文将振动粒子系统(VPS)描述为一种基于物理的元启发式算法,该算法的灵感来自于欠阻尼物体的自由振动,用于解决复杂和现实世界的优化问题。自VPS出现以来,对算法进行了多次修改,提高了算法的性能,并在多个领域得到了应用。在本文的最后,提出了改进的地方。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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