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Smoothed Analysis of Algorithms and Heuristics
2005The theorists have long been challenged by the existence of remarkable algorithms and heuristics that are known by scientists and engineers to work well in practice, but whose theoretical analyses have been are negative or unconvincing. The root of the problem is that algorithms are usually analyzed in one of two ways: by worst-case or average-case ...
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Algorithms, approximations, and heuristics
2001This chapter, indeed the whole of this book, is based on three axioms: 1. Machine vision is an engineering discipline, not a mathematical or philosophical exercise. 2. There is no unique way to perform any given image-processing function; every algorithm can be implemented in many different ways. 3.
Bruce Batchelor, Frederick Waltz
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A comprehensive survey on meta-heuristic algorithms for parameter extraction of photovoltaic models
Renewable and Sustainable Energy Reviews, 2021Shuijia Li, Wenyin Gong, Qiong Gu
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MEALPY: An open-source library for latest meta-heuristic algorithms in Python
Journal of Systems Architecture, 2023Nguyen Van Thieu +2 more
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A survey on population-based meta-heuristic algorithms for motion planning of aircraft
Swarm and Evolutionary Computation, 2021Yu Wu
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Evaluating the performance of meta-heuristic algorithms on CEC 2021 benchmark problems
Neural Computing and Applications, 2022Ali Wagdy Mohamed +2 more
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Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering
Electronics (Switzerland), 2021Laith Abualigah +2 more
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Applications of nature-inspired meta-heuristic algorithms: a survey
International Journal of Advanced Intelligence Paradigms, 2021Anoj Kumar
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