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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
Keywords: technology innovation competence renewal rough set theory
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
Keywords: urban renewal smart city self-adjustment self-improvement mode
Study on Down Knock-in Renewal Option Pricing
Wu Yun,He Jianmin
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 47-50
Keywords: leasing renewal leasing option real option down knock-in option
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
Keywords: OTX2 pluripotency pig SALL4 transcription regulation
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
Keywords: Northwest China energy planning energy production and consumption renewable energy green renewal
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
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
Title Author Date Type Operation
Enterprise technology innovation competence renewal method based on rough set
Miao Chenglin,Feng Junwen
Journal Article
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
Journal Article
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
Journal Article
Energy Production and Consumption Characteristics and Energy Development Path in Northwest China
Sun Yongkai ,Luo Xi ,Wang Dengjia , Liu Yanfeng ,Liu Jiaping
Journal Article