Titlebook: Experimental Methods for the Analysis of Optimization Algorithms; Thomas Bartz-Beielstein,Marco Chiarandini,Mike Pre Book 2010 Springer-Ve

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,Bluff Group—The Cayman Formation,ithout need to follow or test a theory. Yet, in order to make conclusions based on experiments trustworthy, reliable, and objective a systematic methodology is needed. In the natural sciences, this methodology relies on the mathematical framework of statistics. This book collects the results of rece

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https://doi.org/10.1007/978-3-031-30574-0ability, high cost or inconvenience of the collection of real-world data motivates the generation of synthetic data. In many experiments, the method chosen to generate synthetic data can significantly affect the results of an experiment. Unfortunately, the scientific literature does not contain gene

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Geomagnetic Diagnosis of the Magnetosphere the random outcomes of stochastic MOs, such as multiobjective evolutionary algorithms, are sets of nondominated solutions, analyzing their performance is challenging in that it involves studying the distribution of those sets. The attainment function, so named because it indicates the probability o

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Records of Paleomagnetic Field Variations, more. We discuss the major weaknesses of traditional “pen and paper” algorithmics and the ever-growing gap between theory and practice in the context of modern computer hardware and real-world problem instances. We present the key ideas and concepts of the central . cycle that is based on a full fe

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David R. Barraclough,Angelo De Santispensive. In recent work, we adopted an . approach, in which models of the runtime distributions of the available algorithms are iteratively updated and used to guide the allocation of computational resources, while solving a sequence of problem instances. The models are estimated using survival anal

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Geomagnetic Observatory and Survey Practicenuous objective functions. We discuss the application of extreme value theory for the optimization procedures. A short review of the extreme value theory is presented to understand the investigations. In this chapter three optimization procedures are compared in this context: the random search and t

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