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Development of Novel Network Architectures

Ouyang Man, Liu Jiang, Liao Xinyue, Huang Tao

Strategic Study of CAE 2022, Volume 24, Issue 4,   Pages 12-21 doi: 10.15302/J-SSCAE-2022.04.002

Abstract: Existing technological solutions are categorized into evolutionary and revolutionary solutions.As revolutionary solutions, researchers advocate strategies for redesigning the network, seeking a novel

It is noteworthy that revolutionary solutions can better meet futurenetwork demands but are relatively difficult to implement, while evolutionary solutions are easy tothe parties to provide network services in unison (Fig. 2), with evolutionary

Keywords： novel network architecture     revolutionary and evolutionary networks     deterministic network     segment routing    

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Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 2,   Pages 174-178 doi: 10.1007/s11705-012-1276-3

Abstract: Evolutionary engineering is a novel whole-genome wide engineering strategy inspired by natural evolution

Keywords： evolutionary engineering     astaxanthin     strain improvement    

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The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

Zhen Wang, Jiazhen Huo, Yongrui Duan

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1208-2

Abstract: study, government is included as a player, alongside waste collectors and recyclers, in a tripartite evolutionaryThe study explores the evolutionary equilibrium and performs a simulation analysis to elucidate the effect

Keywords： Plastic waste     Recycle     Reuse     Government incentives     Government penalties     Evolutionary game    

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Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Strategic Study of CAE 2001, Volume 3, Issue 1,   Pages 62-70

Abstract: aware of the defects of traditional decision analysis techniques, a new decision making method named Evolutionaryof the candidates are classified according to the indexes relevant to their expected utility, then Evolutionary

Keywords： evolutionary decision making     evolutionary robotics     genetic algorithms for ordering problem    

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Research on the ecological compensation standard of the basin pollution control project based on evolutionary

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 575-583 doi: 10.1007/s42524-019-0044-1

Abstract: By applying the basic game analysis of evolutionary game theory and building an evolutionary game model

Keywords： evolutionary game     ecological compensation standard     Xiangjiang River Basin    

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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presented

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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A Parallel Evolutionary Algorithm Based on Space Contraction

Wang Tao,LiQiqiang

Strategic Study of CAE 2003, Volume 5, Issue 3,   Pages 57-61

Abstract: The result shows that it is better than other existing evolutionary algorithms in search efficiency,

Keywords： space contraction     evolutionary algorithms     MINLP    

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Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Strategic Study of CAE 2002, Volume 4, Issue 2,   Pages 59-68

Abstract: Multi-objective optimization (MOO) and decision-making (DM) has become an important research area of evolutionaryThe researches on multi-objective evolutionary algorithms (MOEA) focus mainly on the Pareto-based comparisonmulti-objective optimization and decision-making techniques, analyzes both the Pareto-based and non-Pareto-based evolutionary

Keywords： evolutionary algorithms     multi-objective optimization and decision-making     Pareto optimal    

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Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru,Qin Yiqing,Song Zefeng

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 84-89

Abstract: Next the evolutionary immune mechanism in KDD is illustrated, based on a comparison between the dynamic

Keywords： dynamic data mining     immune algorithm     dynamic mining process     evolutionary immune mechanism     temporal    

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Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks Article

Ping Zhang, Wenjun Xu, Hui Gao, Kai Niu, Xiaodong Xu, Xiaoqi Qin, Caixia Yuan, Zhijin Qin, Haitao Zhao, Jibo Wei, Fangwei Zhang

Engineering 2022, Volume 8, Issue 1,   Pages 60-73 doi: 10.1016/j.eng.2021.11.003

Abstract:

The sixth generation (6G) mobile networks will reshape the world by offering instant, efficient, andintelligent hyper-connectivity, as envisioned by the previously proposed Ubiquitous-X 6G networks.and global connectivity will introduce tremendous challenges into the operation and management of 6G networks, calling for revolutionary theories and technological innovations.To this end, we propose a new route to boost network capabilities toward a wisdom-evolutionary and primitive-concise

Keywords： 6G     Semantic information     Semantic communication     Intelligent communication    

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RESPONSE OF WHEAT COMPOSITE CROSS POPULATIONS TO DISEASE AND CLIMATE VARIATION OVER 13 GENERATIONS

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 400-415 doi: 10.15302/J-FASE-2021394

Abstract:

Since the F5 (2005), three winter wheat composite cross populations (CCPs) based on germplasm specifically suitable for low-input conditions were subjected to natural selection under organic and conventional management. In the F6, each CCP was divided into two parallel populations (12 CCPs in total) and maintained continuously until 2018. Commonly used modern cultivars with different disease susceptibilities were grown alongside to assess the agronomic performance of the CCPs. The organically managed CCPs were comparable in yield and foliar disease resistance to two continuously used reference cultivars, Achat and Capo. In contrast, under conventional management the cv. Capo outyielded the CCPs (Achat was not tested), highlighting the importance of parental cultivar choice for specific management systems. The CCPs were found to be moderately resistant to brown rust and even to the newly emerged stripe rust races prevalent in Europe since 2011. Differences between the CCPs were mainly due to parental genetic background and were significant in the first five generations, but were no longer so in the last five generations. In addition, these differences tended to vary depending on the experimental year and the environmental stresses present. In conclusion, the CCPs despite being derived from older cultivars are able to compete with more recently released reference cultivars under organic farming practices and represent a dynamic germplasm resource.

 

Keywords： evolutionary breeding     heterogeneous crop population     management system    

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Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Frontiers of Engineering Management doi: 10.1007/s42524-023-0261-5

Abstract: Using the Hotelling model and evolutionary game theory, this paper studies the optimal production strategy

Keywords： supply chain management     low-carbon emission     electric vehicle     subsidy     evolutionary game theory    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide application. We propose a general mathematical framework, which couples the complex structure of the system with the nonlinear activation function to explore the decoupled dimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural network. We apply our framework to some network models and a real system of the whole neuron map of Caenorhabditis elegans. Result shows that a simple linear mapping relationship exists between network structure and network behavior in the neural network with high-dimensional and nonlinear characteristics. Our simulation and theoretical results fully demonstrate this interesting phenomenon. Our new interpretation mechanism provides not only the potential mathematical calculation principle of neural network but also an effective way to accurately match and predict human brain or animal activities, which can further expand and enrich the interpretable mechanism of artificial neural network in the future.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Designer enzyme for green materials innovation: Lactate-polymerizing enzyme as a key catalyst

Seiichi Taguchi

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 1,   Pages 139-142 doi: 10.1007/s11705-017-1636-0

Abstract: Establishment of the regeneratable whole-cell catalyst platform for the?production of biobased polymeric materials is a?typical topic of synthetic biology. In this commentary, discovery story of a “lactate-polymerizing enzyme” (LPE)?and LPE-based?achievements for creating a new variety of polyesters with incorporated unnatural monomers are presented. Besides the importance of microbial platform itself is discussed referring to the “ballooning”- .

Keywords： synthetic biology     enzyme evolutionary engineering     polyhydroxyalkanoate    

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An evolutionary note on smart city development in China Personal View

Ruizhi LIAO(1,2), Liping CHEN(3)

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 966-974 doi: 10.1631/FITEE.2100407

Abstract:

Urbanization is an important indicator of a country’s degree of modernization. According to the World Urbanization Report by the Department of Economic and Social Affairs of the United Nations, more than 55% of the world’s population lives in cities, with this figure projected to rise to 70% by 2050 (United Nations, 2018). China’s urban population accounts for 60% of the national total in 2020, and is expected to reach a very ambitious rate, 80%, by 2050 (Deloitte, 2018). More people living in cities means more contests over limited urban resources, such as water, housing, transportation, education, and health care. To cope with the challenges brought by the urbanization trend, David Bollier from the University of Southern California raised a new idea for city planning: a comprehensive network and applications of information techno-logies (Bollier, 1998). IBM later echoed the idea and initiated its Smart Planet vision in 2008 (Palmisano, 2008). At that time, it was a brand new concept to empower and transform urban infrastructure, services, and management. Quickly afterwards, the smart city concept has been adopted by major cities throughout the world, and it has gradually evolved into a strategic choice by ambitious cities—aiming to compete for urban development, and to provide easy-to-use but efficient functionalities. In this paper, we discuss the essence of a smart city, investigate three driving forces of smart city development in China, summarize the key features of smart cities in China and other countries, and raise four big challenges that deserve careful thoughts on building future smart cities.

Keywords： 智慧城市；城市化；驱动力    

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Title Author Date Type Operation

Development of Novel Network Architectures

Ouyang Man, Liu Jiang, Liao Xinyue, Huang Tao

Journal Article

Evolutionary engineering of

Jixian GONG, Nan DUAN, Xueming ZHAO

Journal Article

The impact of government incentives and penalties on willingness to recycle plastic waste: An evolutionary

Zhen Wang, Jiazhen Huo, Yongrui Duan

Journal Article

Evolutionary Decision Making Based on Candidates Ranking

Li Jianqi,Chen Huowang,Wang Bingshan

Journal Article

Research on the ecological compensation standard of the basin pollution control project based on evolutionary

Dongbin HU, Huiwu LIU, Xiaohong CHEN, Yang CHEN

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for Edge

Journal Article

A Parallel Evolutionary Algorithm Based on Space Contraction

Wang Tao,LiQiqiang

Journal Article

Evolutionary Algorithms for Multi-objective Optimization and Decision-Making Problems

Xie Tao Chen Huowang

Journal Article

Evolutionary Immune Mechanism and Its Application on Temporal Sequential Pattern Mining

Yang Bingru,Qin Yiqing,Song Zefeng

Journal Article

Toward Wisdom-Evolutionary and Primitive-Concise 6G: A New Paradigm of Semantic Communication Networks

Ping Zhang, Wenjun Xu, Hui Gao, Kai Niu, Xiaodong Xu, Xiaoqi Qin, Caixia Yuan, Zhijin Qin, Haitao Zhao, Jibo Wei, Fangwei Zhang

Journal Article

RESPONSE OF WHEAT COMPOSITE CROSS POPULATIONS TO DISEASE AND CLIMATE VARIATION OVER 13 GENERATIONS

Journal Article

Optimal production strategy for auto manufacturers with government subsidies in competitive environments

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Designer enzyme for green materials innovation: Lactate-polymerizing enzyme as a key catalyst

Seiichi Taguchi

Journal Article

An evolutionary note on smart city development in China

Ruizhi LIAO(1,2), Liping CHEN(3)

Journal Article