一个新的优化算法:什么,如何和为什么?

Hari Mohan Pandey
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引用次数: 57

摘要

本文对一种新的优化方法Jaya算法进行了全面的讨论。目前存在两大类启发式算法:进化算法和群体智能算法。这些算法的性能很大程度上取决于所使用的参数,需要在计算实验中进行大量的调优才能达到优异的性能。Jaya算法是近年来提出的一种新的优化算法,该算法参数少,不需要进行参数调优。本文的主要目的是基于以下几个方面来讨论Jaya算法:(a)什么是Jaya算法;(b)它是如何工作的(c)人们为什么应该使用它。作者认为,这一讨论可能有助于探索Jaya对从事优化工作的一般受众的潜力。
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Jaya a novel optimization algorithm: What, how and why?
This paper presents a comprehensive discussion of the Jaya algorithm, a novel approach for the optimization. There exist two broad categories of heuristic algorithms are: evolutionary algorithms and swarm intelligence. These algorithms' performance vastly depends on the parameters used need extensive tuning during the computational experiments to achieve the superior performance. The Jaya algorithm is a new optimization algorithm has been proposed recently is parameter less and therefore parameters tuning is not needed for it. The primary aim of this paper is to discuss the Jaya algorithm based on the rational aspects outlined as: (a) what is Jaya algorithm; (b) How it works and (c) why one should use it. The author believes that this discussion might be useful to explore the potential of the Jaya to the general audience working for the optimization.
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