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renewal 2

Formalizing preference of decision makers 1

Multi-objective evolutionary algorithm (MOEA) 1

Northwest China 1

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SALL4 1

down knock-in option 1

energy planning 1

energy production and consumption 1

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Enterprise technology innovation competence renewal method based on rough set

Miao Chenglin,Feng Junwen

Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 109-112

Abstract: can not satisfy enterprise technology new requests, and therefore technology innovation competence renewalcompetence behaviors under the new requests.This article studied enterprise technology innovation competence renewalmethod under the new requests based on rough set theory, acquiring the renewal order with the minimal

Keywords： technology innovation competence renewal rough set theory

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The Mode of Urban Renewal Base on the Smart City Theory under the Background of New Urbanization

Yi-hua Mao,Hong-yu Li,Qin-rui Xu

Frontiers of Engineering Management 2015, Volume 2, Issue 3, Pages 261-265 doi: 10.15302/J-FEM-2015035

Abstract: Urban renewal is an important way to build the Smart City.Based on the Smart City theory, the authors propose the “12345” model of urban renewal, which means developingSmart urban renewal model not only solves the problems of the city at this stage, but also promotes the

Keywords： urban renewal smart city self-adjustment self-improvement mode

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Study on Down Knock-in Renewal Option Pricing

Wu Yun,He Jianmin

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 47-50

Abstract: Then, the down knock-in renewal option pricing model and its solution are put forward.

Keywords： leasing renewal leasing option real option down knock-in option

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SALL4 maintains self-renewal of porcine pluripotent stem cells through downregulation of OTX2

Ning WANG, Sile WANG, Yaxian WANG, Yuanxing CAI, Fan YANG, Huayan WANG

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 1, Pages 81-92 doi: 10.15302/J-FASE-2017180

Abstract: SALL4A was not affected, indicating that SALL4B may be essential for the maintenance of piPSCs self-renewalregulatory mechanism may exist between SALL4 and OTX2, which is useful for the maintenance of the self-renewal

Keywords： OTX2 pluripotency pig SALL4 transcription regulation

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Energy Production and Consumption Characteristics and Energy Development Path in Northwest China

Sun Yongkai ,Luo Xi ,Wang Dengjia , Liu Yanfeng ,Liu Jiaping

Strategic Study of CAE 2022, Volume 24, Issue 6, Pages 38-51 doi: 10.15302/J-SSCAE-2022.06.006

Abstract: To promote the green renewal and development through energy transition, this study proposed to focus

Keywords： Northwest China energy planning energy production and consumption renewable energy green renewal

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DIP-MOEA: a double-grid interactive preference based multi-objective evolutionary algorithm for formalizing preferences of decision makers Research Article

Luda ZHAO, Bin WANG, Xiaoping JIANG, Yicheng LU, Yihua HU

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 11, Pages 1714-1732 doi: 10.1631/FITEE.2100508

Abstract:

The final solution set given by almost all existing preference-based multi-objective evolutionary algorithms (MOEAs) lies a certain distance away from the decision makers’ preference information region. Therefore, we propose a multi-objective optimization algorithm, referred to as the double-grid interactive preference based MOEA (DIP-MOEA), which explicitly takes the preferences of decision makers (DMs) into account. First, according to the optimization objective of the practical multi-objective optimization problems and the preferences of DMs, the membership functions are mapped to generate a decision preference grid and a preference error grid. Then, we put forward two dominant modes of population, preference degree dominance and preference error dominance, and use this advantageous scheme to update the population in these two grids. Finally, the populations in these two grids are combined with the DMs’ information, and the preference multi-objective optimization interaction is performed. To verify the performance of DIP-MOEA, we test it on two kinds of problems, i.e., the basic DTLZ series functions and the multi-objective knapsack problems, and compare it with several different popular preference-based MOEAs. Experimental results show that DIP-MOEA expresses the preference information of DMs well and provides a solution set that meets the preferences of DMs, quickly provides the test results, and has better performance in the distribution of the Pareto front solution set.

Keywords： Multi-objective evolutionary algorithm (MOEA) Formalizing preference of decision makers Population renewal