標(biāo)題: Titlebook: Evolutionary Algorithms, Swarm Dynamics and Complex Networks; Methodology, Perspec Ivan Zelinka,Guanrong Chen Book 2018 Springer-Verlag Gmb [打印本頁] 作者: 力學(xué) 時間: 2025-3-21 17:10
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks影響因子(影響力)
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks網(wǎng)絡(luò)公開度
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks被引頻次
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks被引頻次學(xué)科排名
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks年度引用
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks年度引用學(xué)科排名
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks讀者反饋
書目名稱Evolutionary Algorithms, Swarm Dynamics and Complex Networks讀者反饋學(xué)科排名
作者: EXPEL 時間: 2025-3-21 22:02 作者: HARP 時間: 2025-3-22 01:37 作者: intolerance 時間: 2025-3-22 05:17 作者: LVAD360 時間: 2025-3-22 12:39
Sandro Longo,Maria Giovanna Tandaent trend of adaptive and learning methods for improving the performance of evolutionary computational techniques. It seems very likely that the complex network and its statistical characteristics can be used within those adaptive approaches. The network analysis also provides usefull insight into t作者: fiction 時間: 2025-3-22 13:43 作者: fiction 時間: 2025-3-22 19:42
Eskalation und Deeskalation von Commitments on the experimental investigations on the time development and influence of different randomization types, different strategies for Differential Evolution (DE) through the analysis of complex network as a record of population dynamics and indices selection. The population is visualized as an evolvi作者: Gingivitis 時間: 2025-3-22 22:52 作者: MINT 時間: 2025-3-23 02:21 作者: 平靜生活 時間: 2025-3-23 08:26 作者: foliage 時間: 2025-3-23 12:50 作者: phlegm 時間: 2025-3-23 17:23
Suja Pillai,Neven Maksemous,Alfred K. Lambeen witnessed by the pioneering works between these complex dynamic behaviors and cyclic genetic structures. This chapter analyzes the stability and bifurcation criteria of cyclic genetic regulatory networks with time delays. Not only the single cyclic genetic regulatory network but also a typical 作者: 殺菌劑 時間: 2025-3-23 20:31
Stephen P. Robertson,Spencer W. Beasley important steps and report selected experiments we have done on that field. The book does not present all possible visualizations, conversions, and experiments on control of algorithm dynamics via approach proposed here. Despite the fact that almost all ideas presented here were in the detailed for作者: 蒙太奇 時間: 2025-3-23 23:05 作者: 自愛 時間: 2025-3-24 04:46
Evolutionary Algorithms, Swarm Dynamics and Complex Networks978-3-662-55663-4Series ISSN 2194-7287 Series E-ISSN 2194-7295 作者: 漸強(qiáng) 時間: 2025-3-24 07:47 作者: Obsequious 時間: 2025-3-24 14:13 作者: 植物群 時間: 2025-3-24 16:56
The Postcolonial Challenge: Quotidian ,In this chapter we describe possibility how to create complex network from SOMA algorithm and we describe what this network represents according to algorithm. Also we look at the visualization of such networks and show basic global complex network properties and how they look during the time.作者: Aviary 時間: 2025-3-24 20:56 作者: 極端的正確性 時間: 2025-3-24 23:24
Conversion of SOMA Algorithm into Complex NetworksIn this chapter we describe possibility how to create complex network from SOMA algorithm and we describe what this network represents according to algorithm. Also we look at the visualization of such networks and show basic global complex network properties and how they look during the time.作者: 種植,培養(yǎng) 時間: 2025-3-25 05:04 作者: separate 時間: 2025-3-25 08:53 作者: 相符 時間: 2025-3-25 14:11 作者: NORM 時間: 2025-3-25 17:21
Improvement of SOMA Algorithm Using Complex Networkscording to complex network analysis. At the end of the chapter, we show the best possible option how to improve standard SOMA algorithm together with results of a statistical test. Proposed improvements can be made (in principle) on arbitrary algorithm, SOMA here is used only for demonstrative purposes.作者: MELD 時間: 2025-3-25 23:15
Swarm and Evolutionary Dynamics as a Networkased on the obvious similarity between interactions between individuals in a swarm and evolutionary algorithms and for example, users of social networks, linking between web pages, etc. The analogy between individuals in populations in an arbitrary evolutionary algorithm and vertices of a network is作者: 碌碌之人 時間: 2025-3-26 00:14
Evolutionary Dynamics and Its Network Visualization - Selected Examples are a self-organizing migrating algorithm, differential evolution, particle swarm, artificial bee colony and ant colony optimization. The main ideas and steps are discussed here, for more detailed study and understanding references to original research papers are throughout the text. The aim of thi作者: Sad570 時間: 2025-3-26 07:49 作者: CUB 時間: 2025-3-26 10:16
Improvement of SOMA Algorithm Using Complex Networkscording to complex network analysis. At the end of the chapter, we show the best possible option how to improve standard SOMA algorithm together with results of a statistical test. Proposed improvements can be made (in principle) on arbitrary algorithm, SOMA here is used only for demonstrative purpo作者: antidote 時間: 2025-3-26 15:41 作者: aggravate 時間: 2025-3-26 19:59
Comparison of Vertex Centrality Measures in Complex Network Analysis Based on Adaptive Artificial Benot free of problems of premature convergence and stagnation. The algorithm design constantly strives for improved performance. Next to the efforts of developing EAs based on entirely new principles, the existing EAs are being improved with advanced techniques, which seek to remedy the afore mention作者: 輕浮思想 時間: 2025-3-27 00:47 作者: Suppository 時間: 2025-3-27 05:08
Gallery of Evolutionary Networksing from different algorithms with attention on its beauty (as we hope) and shall serve as the visual motivation-inspiration for new experiments. Visualization of those networks has been done on different principles with only one aim: to show a variety of visualizations. Beside standard visualizatio作者: 領(lǐng)巾 時間: 2025-3-27 09:14 作者: Anemia 時間: 2025-3-27 09:39
Simple Networks on Complex Cellular Automata: From de Bruijn Diagrams to Jump-Graphsobal states of the automaton evolution: de Bruijn diagrams, subsystem diagrams, basins of attraction, and jump-graphs. These networks are used to understand properties of spatially-extended dynamical systems: emergence of non-trivial patterns, self-organisation, reversibility and chaos. Particular a作者: 環(huán)形 時間: 2025-3-27 17:30 作者: COMMA 時間: 2025-3-27 19:13
Dynamic Analysis of Genetic Regulatory Networks with Delaysbeen witnessed by the pioneering works between these complex dynamic behaviors and cyclic genetic structures. This chapter analyzes the stability and bifurcation criteria of cyclic genetic regulatory networks with time delays. Not only the single cyclic genetic regulatory network but also a typical 作者: AVID 時間: 2025-3-27 22:55 作者: Occlusion 時間: 2025-3-28 04:05 作者: Parabola 時間: 2025-3-28 07:31 作者: anus928 時間: 2025-3-28 11:20
Farhadul Islam,Vinod Gopalan,Alfred K. Lamture and thus likely controlled and stopped, as our experiments in the first part of this book suggest. The same methodology can be used not only in laboratory conditions on a single PC, but also on virus spreading over the network or Internet, if real data is available. Ideas and results of this ch作者: EVICT 時間: 2025-3-28 14:44 作者: 偽造 時間: 2025-3-28 21:26
Comparison of Vertex Centrality Measures in Complex Network Analysis Based on Adaptive Artificial Beive mechanism was implemented inside swarm based ABC algorithm, employing complex network analysis, vertex centralities of degree, closeness and betweenness in particular, to enhance algorithm’s performance. However, since both versions of algorithm were originally using all three of the chosen cent作者: 疏遠(yuǎn)天際 時間: 2025-3-29 02:31
Swarm Virus, Evolution, Behavior and Networkingture and thus likely controlled and stopped, as our experiments in the first part of this book suggest. The same methodology can be used not only in laboratory conditions on a single PC, but also on virus spreading over the network or Internet, if real data is available. Ideas and results of this ch作者: Exclaim 時間: 2025-3-29 03:22
Book 2018s more advanced complex networks and incorporates them with the CMLs (coupled map lattices), whichare usually used for spatiotemporal complex systems simulation and analysis, based on the observation that chaos in CML can be controlled, so does evolution dynamics. All the chapter authors are, to the作者: ablate 時間: 2025-3-29 11:07 作者: ADOPT 時間: 2025-3-29 14:35 作者: 凌辱 時間: 2025-3-29 19:17 作者: 強(qiáng)制性 時間: 2025-3-29 22:42 作者: multiply 時間: 2025-3-30 02:07 作者: anticipate 時間: 2025-3-30 07:49
Suja Pillai,Neven Maksemous,Alfred K. Lambifurcation criteria of cyclic genetic regulatory networks with time delays. Not only the single cyclic genetic regulatory network but also a typical coupled cyclic genetic regulatory network through direct communication mechanism are introduced to enlighten further the dynamical evolution of living things.作者: Nonporous 時間: 2025-3-30 08:56
Evolutionary Dynamics and Its Network Visualization - Selected Examplesand steps are discussed here, for more detailed study and understanding references to original research papers are throughout the text. The aim of this chapter is to show principles of conversion with attention on the fact that there is no universal guide on how to do conversion - it is a matter of creative approach and algorithm knowledge.作者: indigenous 時間: 2025-3-30 14:23 作者: FISC 時間: 2025-3-30 19:48
Gallery of Evolutionary Networksalization of those networks has been done on different principles with only one aim: to show a variety of visualizations. Beside standard visualization, are present also visualizations like community, degree centralities, etc.
