Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A review and empirical analysis of neural networks based exchange rate prediction
TN Pandey, AK Jagadev, S Dehuri, SB Cho. Cited by 14
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Using semi-independent variables to enhance optimization search
AH Gandomi, K Deb, RC Averill, S Rahnamayan, MN Omidvar. Cited by 12
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Evolutionary Multitasking Sparse Reconstruction: Framework and Case Study
H Li, YS Ong, M Gong, Z Wang. Cited by 93
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Understanding and comparing scalable Gaussian process regression for big data
H Liu, J Cai, YS Ong, Y Wang. Cited by 42
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Reference point based evolutionary multi-objective optimization with dynamic resampling for production systems improvement
AHC Ng, F Siegmund, K Deb. Cited by 5
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Design of an Adaptive Push-Repel Operator for Enhancing Convergence in Genetic Algorithms
Y Dhebar, K Deb
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Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization
A Ibrahim, S Rahnamayan, MV MartÃn, K Deb. Cited by 1
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Switching Between Metamodeling Frameworks for Efficient Multi-Objective Optimization
R Hussein, PC Roy, K Deb. Cited by 5
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A Topologically Consistent Visualization of High Dimensional Pareto-front for Multi-Criteria Decision Making
AKA Talukder, K Deb. Cited by 4
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Evolving and Comparing Greenhouse Control Strategies using Model-Based Multi-Objective Optimization
JR Llera, K Deb, ES Runkle, L Xu, ED Goodman. Cited by 8
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Reference Point Based NSGA-III for Preferred Solutions
Y Vesikar, K Deb, J Blank. Cited by 92
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Scaled and oriented object tracking using ensemble of multilayer perceptrons
A Mondal, AK Ghosh, S Ghosh. Cited by 14