Titlebook: Computational Intelligence in Optimization; Applications and Imp Yoel Tenne,Chi-Keong Goh Book 2010 Springer-Verlag Berlin Heidelberg 2010

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書目名稱Computational Intelligence in Optimization影響因子(影響力)




書目名稱Computational Intelligence in Optimization影響因子(影響力)學(xué)科排名




書目名稱Computational Intelligence in Optimization網(wǎng)絡(luò)公開度




書目名稱Computational Intelligence in Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Intelligence in Optimization被引頻次




書目名稱Computational Intelligence in Optimization被引頻次學(xué)科排名




書目名稱Computational Intelligence in Optimization年度引用




書目名稱Computational Intelligence in Optimization年度引用學(xué)科排名




書目名稱Computational Intelligence in Optimization讀者反饋




書目名稱Computational Intelligence in Optimization讀者反饋學(xué)科排名

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978-3-642-26361-3Springer-Verlag Berlin Heidelberg 2010

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https://doi.org/10.1007/978-3-030-74458-8he word; complexity addresses, amongst others, non-linear, contingent and ‘chaotic’ phenomena ([10],[11]). Many thinkers on complexity consider such characteristics - sometimes called .-to demarcate a transition point where analytical approaches are no longer feasible ([26]:18).

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Strategies for Second Language Listeningtimization tools for solving large scale problems was due to the fact that this technique has great potential for hardware VLSI implementation, in which it may be more efficient than traditional optimization techniques. However, the implementation of computational algorithm has shown that the propos

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https://doi.org/10.1007/978-3-031-04174-7lation-based search. We provide motivation and comparison to similar, but different approaches including antithetic variates and quasi-randomness/low-discrepancy sequences. We employ differential evolution and population-based incremental learning as optimization methods for image thresholding. Our