Browse by Subject GLOBAL OPTIMIZATION

Showing results 14 to 29 of 29

14
Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index

Kim, KJ; Han, Ingoo, EXPERT SYSTEMS WITH APPLICATIONS, v.19, no.2, pp.125 - 132, 2000-08

15
Hessian approximation algorithms for hybrid optimization methods

Tahk, Min-Jea; Park, Moon-Su; Woo, Hyun-k; Kim, Hyoun-Jin, ENGINEERING OPTIMIZATION, v.41, no.7, pp.609 - 633, 2009-07

16
Identification of sustainable carbon capture and utilization (CCU) pathways using state-task network representation

Chung, Wonsuk; Kim, Sunwoo; Al-Hunaidy, Ali S.; Imran, Hasan; Jamal, Aqil; Lee, Jay H., COMPUTERS & CHEMICAL ENGINEERING, v.178, 2023-10

17
Machine learning-based discovery of molecules, crystals, and composites: A perspective review

Lee, Sangwon; Byun, Haeun; Cheon, Mujin; Kim, Jihan; Lee, Jay Hyung, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.38, no.10, pp.1971 - 1982, 2021-10

18
Mathematical Modeling of Microalgal Internal Metabolic Behaviors under Heterotrophic Conditions and Its Application

Ryu, Kyung Hwan; Kim, Boeun; Heo, Seongmin; Chang, Yong-Keun; Lee, Jay Hyung, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, v.59, no.498, pp.1631 - 1645, 2020-01

19
Optimal design of microalgae-based biorefinery: Economics, opportunities and challenges

Rizwan, Muhammad; Lee, Jay Hyung; Gani, Rafiqul, APPLIED ENERGY, v.150, pp.69 - 79, 2015-07

20
Optimal processing pathway selection for microalgae-based biorefinery under uncertainty

Rizwan, Muhammad; Zaman, Muhammad; Lee, Jay Hyung; Gani, Rafiqul, COMPUTERS & CHEMICAL ENGINEERING, v.82, pp.362 - 373, 2015-11

21
Origin of the Diverse Melting Behaviors of Intermediate-Size Nanoclusters: Theoretical Study of Al(N) (N=51-58, 64)

Kang, J; Wei, SH; Kim, Yong-Hyun, JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, v.132, no.51, pp.18287 - 18291, 2010-12

22
Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning

Lim, Hyerim; Kim, Bumjoon; Park, Sukyung, SENSORS, v.20, no.1, 2020-01

23
Process optimization of a non-circular drawing sequence based on multi-surrogate assisted meta-heuristic algorithms

Pholdee, Nantiwat; Baek, Hyun Moo; Bureerat, Sujin; Im, Yong-Taek, JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, v.29, no.8, pp.3427 - 3436, 2015-08

24
Role of spectral non-idealities in the design of solar thermophotovoltaics

Lenert, Andrej; Nam, Youngsuk; Bierman, David M.; Wang, Evelyn N., OPTICS EXPRESS, v.22, no.21, pp.A1604 - A1618, 2014-10

25
Self-adaptive sampling for sequential surrogate modeling of time-consuming finite element analysis

Jin, Seung-Seop; Jung, Hyung-Jo, SMART STRUCTURES AND SYSTEMS, v.17, no.4, pp.611 - 629, 2016-04

26
Sequential surrogate modeling for efficient finite element model updating

Jin, Seung-Seop; Jung, Hyung-Jo, COMPUTERS & STRUCTURES, v.168, pp.30 - 45, 2016-05

27
Solar thermophotovoltaic energy conversion systems with two-dimensional tantalum photonic crystal absorbers and emitters

Nam, Youngsuk; Yeng, Yi Xiang; Lenert, Andrej; Bermel, Peter; Celanovic, Ivan; Soljacic, Marin; Wang, Evelyn N., SOLAR ENERGY MATERIALS AND SOLAR CELLS, v.122, pp.287 - 296, 2014-03

28
Synergy in mergers of petrochemical companies within a complex considering purchasing and selling advantage with process integration

Yoon, Sung-Geun; Park, SeungBin; Park, Sunwon; Lee, Jeongseok; Verderame, Peter M.; Floudas, Christodoulos A., INDUSTRIAL ENGINEERING CHEMISTRY RESEARCH, v.47, no.15, pp.5556 - 5567, 2008-08

29
The Multiple-Update-Infill Sampling Method Using Minimum Energy Design for Sequential Surrogate Modeling

Hwang, Yongmoon; Cha, Sang Lyul; Kim, Sehoon; Jin, Seung-Seop; Jung, Hyung-Jo, APPLIED SCIENCES-BASEL, v.8, no.4, 2018-04

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