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【下載完整報告】AI熱潮從學術研究也能看出端倪?哪些議題是2023熱搜議題?
期刊
An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems
Bili Chen
;
Wenhua Zeng
;
Yangbin Lin
;
Qi Zhong
《Journal of Applied Mathematics》
2014卷
(2014/12)
Pp. 385-397-933
https://doi.org/10.1155/2014/931630
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延伸閱讀
Dai, C., & Wang, Y. (2014).
A New Multiobjective Evolutionary Algorithm Based on Decomposition of the Objective Space for Multiobjective Optimization
.
Journal of Applied Mathematics
,
2014
(), 59-67-904. https://doi.org/10.1155/2014/906147
Liao, S. H., & Hsieh, C. L. (2010).
A Multi-objective Evolutionary Optimization Approach for Solving a Capacitated Location-inventory Distribution Network System
.
運輸學刊
,
22
(2), 185-210. https://doi.org/10.6383/JCIT.201006.0185
Wang, B. P. (2006).
An Effective Simulation-Based Design Optimization Algorithm Using Sequential Regularized Multiquadric Regression
.
Journal of Aeronautics, Astronautics and Aviation. Series A
,
38
(3), 145-157. https://doi.org/10.6125/JoAAA.200609_38(3).01
Gühring, G., & Räbiger, F. (1999).
ASYMPTOTIC PROPERTIES OF MILD SOLUTIONS OF NONAUTONOMOUS EVOLUTION EQUATIONS WITH APPLICATIONS TO RETARDED DIFFERENTIAL EQUATIONS
.
Abstract and Applied Analysis
,
(1999), 169-194. https://doi.org/10.1155/S1085337599000214
Gao, Y. L., & Liu, J. M. (2012).
Multiobjective Differential Evolution Algorithm with Multiple Trial Vectors
.
Abstract and Applied Analysis
,
2012
(), 916-927. https://doi.org/10.1155/2012/172041
國際替代計量
An Enhanced Differential Evolution Based Algorithm with Simulated Annealing for Solving Multiobjective Optimization Problems
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