不同的元启发式优化技术及其在太阳能光伏领域的应用

K. Kanekar, Rahul Agrawal, Dhiraj B. Magare
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引用次数: 0

摘要

一种优化方法是通过从各种现有的可能性中选择更好的选项来巧妙地解决问题。许多优化问题具有非线性、复杂性、多模态方法和目标函数不相容等特点。有时甚至对于单个简单的线性型目标函数,一个最优解并不存在,也存在获得最优解的不确定性。寻找能够以一种明确的方式解决各种问题的方法的目标,可能已经发现了负责执行一种称为元启发式技术的新“智能”技术进步的不同研究人员的集中。在过去的几年里,各种元启发式技术在不同的领域有了很大的发展。元启发式是一种迫切需要的研究推动力,它在寻找优化问题的答案方面显示了重要的进步。本章为更有意义地加强研究提供了指导。
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Different Meta-Heuristic Optimization Techniques and Their Application in Solar Photovoltaic Field
A method of optimization is used to resolve issues smartly by selecting the better option from various existing possibilities. Many optimization problems are possessing characteristics, namely nonlinearity, complexity, multimodal approach, and incompatible objective functions. Sometimes even for individual simple and linear type objective functions, a solution that is optimal and does not exist, there is uncertainness of obtaining the best solution. The aim of finding methods that can resolve various issues in a defined manner potentially has found the concentration of different researchers responsible for performing the advancement of a new “intelligent” technique called meta-heuristics technique. In the last few years, there is an advancement of various meta-heuristics techniques in different areas or various fields. Meta-heuristics are a demanded thrust stream of research that showed important advancement in finding the answer to problems that are optimized. The chapter gives the guidance for enhancing research more meaningfully.
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