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Titlebook: Nature-Inspired Algorithms for Optimisation; Raymond Chiong Book 2009 Springer-Verlag Berlin Heidelberg 2009 algorithm.algorithms.artifici

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發(fā)表于 2025-3-27 00:33:24 | 只看該作者
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發(fā)表于 2025-3-27 08:46:44 | 只看該作者
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發(fā)表于 2025-3-27 11:43:09 | 只看該作者
On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm Nnd the convergence speed of the algorithms. The obtained results show that search capabilities of the steady-state version of NSGA-II significantly improves the original version, providing very competitive results in terms of the quality of the obtained Pareto front approximations and the convergence speed.
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發(fā)表于 2025-3-27 16:04:14 | 只看該作者
Book 2009increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find acceptable results within a reasonable amount of time, rather than an ability to guarantee the optimal solu
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https://doi.org/10.1007/978-3-642-00267-0algorithm; algorithms; artificial intelligence; collective intelligence; complexity; computational intell
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發(fā)表于 2025-3-28 06:10:27 | 只看該作者
978-3-642-10130-4Springer-Verlag Berlin Heidelberg 2009
39#
發(fā)表于 2025-3-28 09:51:47 | 只看該作者
Nature-Inspired Algorithms for Optimisation978-3-642-00267-0Series ISSN 1860-949X Series E-ISSN 1860-9503
40#
發(fā)表于 2025-3-28 13:21:35 | 只看該作者
Algorithms Inspired in Social PhenomenaNatural computing finds its source of inspiration in diverse biological phenomena and social behaviors from mainly insects and birds. In this chapter, we instead propose human social phenomena. The presented algorithms have been applied in optimization endeavours with success or are promising tools in the design of optimization techniques.
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