標(biāo)題: Titlebook: Evolutionary Computation and Complex Networks; Jing Liu,Hussein A. Abbass,Kay Chen Tan Book 2019 Springer Nature Switzerland AG 2019 Algor [打印本頁] 作者: 我要黑暗 時(shí)間: 2025-3-21 18:23
書目名稱Evolutionary Computation and Complex Networks影響因子(影響力)
書目名稱Evolutionary Computation and Complex Networks影響因子(影響力)學(xué)科排名
書目名稱Evolutionary Computation and Complex Networks網(wǎng)絡(luò)公開度
書目名稱Evolutionary Computation and Complex Networks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evolutionary Computation and Complex Networks被引頻次
書目名稱Evolutionary Computation and Complex Networks被引頻次學(xué)科排名
書目名稱Evolutionary Computation and Complex Networks年度引用
書目名稱Evolutionary Computation and Complex Networks年度引用學(xué)科排名
書目名稱Evolutionary Computation and Complex Networks讀者反饋
書目名稱Evolutionary Computation and Complex Networks讀者反饋學(xué)科排名
作者: insurrection 時(shí)間: 2025-3-21 21:53
Book 2019 Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evoluti作者: neuron 時(shí)間: 2025-3-22 00:32 作者: OCTO 時(shí)間: 2025-3-22 04:43
Umgang mit Alltags- und Krisensituationen node in a complex network. This representation limits the other individuals that each individual is allowed to interact with. This localized interaction warrants a discussion on the selection pressure that each network topology implicitly imposes on its population.作者: 臭名昭著 時(shí)間: 2025-3-22 11:11
Complex Networks node in a complex network. This representation limits the other individuals that each individual is allowed to interact with. This localized interaction warrants a discussion on the selection pressure that each network topology implicitly imposes on its population.作者: 思考才皺眉 時(shí)間: 2025-3-22 14:38 作者: 思考才皺眉 時(shí)間: 2025-3-22 18:53
Unternehmungspolitik und Ethik,ce existing work on network robustness analysis and widely used network robustness measures, and then introduce optimization algorithms designed to improve network robustness, where both single-objective and multi-objective EAs are introduced.作者: circuit 時(shí)間: 2025-3-23 00:14 作者: 懶洋洋 時(shí)間: 2025-3-23 02:57 作者: progestogen 時(shí)間: 2025-3-23 05:42
Jing Liu,Hussein A. Abbass,Kay Chen TanBrings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively.Provides novel and efficient computational problem solving techniques作者: 紅潤(rùn) 時(shí)間: 2025-3-23 09:59 作者: 谷物 時(shí)間: 2025-3-23 14:09 作者: Mosaic 時(shí)間: 2025-3-23 21:59 作者: 憎惡 時(shí)間: 2025-3-23 22:58 作者: Condescending 時(shí)間: 2025-3-24 02:47 作者: A精確的 時(shí)間: 2025-3-24 09:44 作者: 騷動(dòng) 時(shí)間: 2025-3-24 14:29
Unternehmungspolitik und Ethik,y their robustness. In reality, failures may occur in many different ways and to a different degree, depending on the complexity of the system under examination. Thus, the robustness of networks is of great importance in guaranteeing the security of network systems. In this chapter, we first introdu作者: Robust 時(shí)間: 2025-3-24 17:35
https://doi.org/10.1007/978-3-658-02467-3 other optimization problems in the field of complex networks, such as network reconstruction and promoting the cooperation levels of evolutionary games on networks. In this chapter, we briefly introduce the above two optimization problems from the field of complex networks.作者: 發(fā)怨言 時(shí)間: 2025-3-24 19:13
978-3-030-09649-6Springer Nature Switzerland AG 2019作者: 詞匯記憶方法 時(shí)間: 2025-3-25 00:29
https://doi.org/10.1007/978-3-322-95927-0 for EAs. In this chapter, existing predictive problem difficulty measures are introduced; first, nonnetwork-based measures are introduced briefly, and then the network-based measures are introduced in detail, with thorough experiments to illustrate their performance.作者: cyanosis 時(shí)間: 2025-3-25 04:17 作者: Ingredient 時(shí)間: 2025-3-25 08:04 作者: 舞蹈編排 時(shí)間: 2025-3-25 15:30
Network-Based Problem Difficulty Prediction Measures for EAs. In this chapter, existing predictive problem difficulty measures are introduced; first, nonnetwork-based measures are introduced briefly, and then the network-based measures are introduced in detail, with thorough experiments to illustrate their performance.作者: prosperity 時(shí)間: 2025-3-25 17:42 作者: helper-T-cells 時(shí)間: 2025-3-25 22:39
Other Optimization Problems in?Complex Networks other optimization problems in the field of complex networks, such as network reconstruction and promoting the cooperation levels of evolutionary games on networks. In this chapter, we briefly introduce the above two optimization problems from the field of complex networks.作者: Bmd955 時(shí)間: 2025-3-26 02:48 作者: Forehead-Lift 時(shí)間: 2025-3-26 04:52
Evolutionary ComputationEvolutionary algorithms (EAs) are optimization heuristics designed to solve optimization problems. This chapter introduces classical EAs and other advanced methods including differential evolution, memetic algorithms, particle swarm optimization, and multi-objective EAs.作者: expansive 時(shí)間: 2025-3-26 10:32
Complex Networks specific, have been extensively used for understanding complex systems. In this chapter, we offer a gentle introduction to complex networks, a discussion of their properties and metrics to measure these properties, and algorithms for network generation that could be used to generate synthetic netwo作者: 小畫像 時(shí)間: 2025-3-26 15:31 作者: Criteria 時(shí)間: 2025-3-26 17:32 作者: 半球 時(shí)間: 2025-3-26 23:37 作者: 新鮮 時(shí)間: 2025-3-27 03:12
Evolving Robust Networks Using Evolutionary Algorithmsy their robustness. In reality, failures may occur in many different ways and to a different degree, depending on the complexity of the system under examination. Thus, the robustness of networks is of great importance in guaranteeing the security of network systems. In this chapter, we first introdu作者: 側(cè)面左右 時(shí)間: 2025-3-27 08:57
Other Optimization Problems in?Complex Networks other optimization problems in the field of complex networks, such as network reconstruction and promoting the cooperation levels of evolutionary games on networks. In this chapter, we briefly introduce the above two optimization problems from the field of complex networks.作者: antidote 時(shí)間: 2025-3-27 10:28 作者: 冷漠 時(shí)間: 2025-3-27 15:20 作者: objection 時(shí)間: 2025-3-27 18:30 作者: 改正 時(shí)間: 2025-3-28 01:12
Role of Simulation in the Development of a Digital Twin of a Food Itemem, which includes the whole variety of factors (physical and chemical, functional and technological, structural, and mechanical) is a “digital model” of such item. The example of creating a functional product in the form of a sausage product shows the stages of forming the model. At the first stage作者: Infraction 時(shí)間: 2025-3-28 04:39
Book 20061st editionlectromagnetic ?eld either with matter or with free charged particles. First attempts of investigators, especially experimentalists, were directed - ward studying the processes of interaction of laser radiation with matter, which led to the rapid formation of a new ?eld — Nonlinear Optics. The numer作者: 愛得痛了 時(shí)間: 2025-3-28 06:56
2626-0263 Instrument an die Hand gegeben, welches eine umfassende Analyse der Effekte von Events erlaubt, um daraus entsprechende Handlungsempfehlungen zur optimalen Gestaltung abzuleiten.978-3-658-07113-4978-3-658-07114-1Series ISSN 2626-0263 Series E-ISSN 2626-028X
