接合
发表于 2025-3-27 00:33:24
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commune
发表于 2025-3-27 04:12:28
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Consensus
发表于 2025-3-27 08:46:44
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EXTOL
发表于 2025-3-27 11:43:09
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.
光滑
发表于 2025-3-27 16:04:14
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
Infantry
发表于 2025-3-27 21:15:47
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短程旅游
发表于 2025-3-27 23:55:47
https://doi.org/10.1007/978-3-642-00267-0algorithm; algorithms; artificial intelligence; collective intelligence; complexity; computational intell
Parabola
发表于 2025-3-28 06:10:27
978-3-642-10130-4Springer-Verlag Berlin Heidelberg 2009
Devastate
发表于 2025-3-28 09:51:47
Nature-Inspired Algorithms for Optimisation978-3-642-00267-0Series ISSN 1860-949X Series E-ISSN 1860-9503
扔掉掐死你
发表于 2025-3-28 13:21:35
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.