Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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An estimation of nadir objective vector using a: hybrid evolutionary-cum-local-search procedure
K Deb, K Miettinen, S Chaudhuri. Cited by 3
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09041 Working Group on EMO for Robust Multiobjective Optimization (1st Round)
F Joerg, N Beume, B Juergen, H Braun, N Chakraborti, K Deb, S Helwig, JD Knowles, M Middendorf, S Mostaghim, S Poles, S Daniel, S Pradymn, T El-Ghazli. Cited by 1
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09041 Summary – Hybrid and Robust Approaches to Multiobjective Optimization
K Deb, S Greco, K Miettinen, E Zitzler. Cited by 1
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Hybrid and Robust Approaches to Multiobjective Optimization
K Deb, S Greco, K Miettinen, E Zitzler. Cited by 4
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Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
SP Kodali, K Deb, S Bandaru, P Munshi, NN Kishore. Cited by 6
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Simulation-based Innovization for production systems improvement : An industrial case study
AHC Ng, K Deb, C Dudas. Cited by 13
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A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point
K Deb, K Miettinen, D Sharma. Cited by 15
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A classical-cum-Evolutionary Multi-objective optimization for optimal machining parameters
R Datta, K Deb. Cited by 22
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An Evolutionary Approach for Bilevel Multi-objective Problems
K Deb, A Sinha. Cited by 32
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Towards Understanding Evolutionary Bilevel Multi-Objective Optimization Algorithm
A Sinha, K Deb. Cited by 44
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Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
K Deb, A Sinha. Cited by 170
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Feature Selection Using Single/Multi-Objective Memetic Frameworks
Z Zhu, YS Ong, J Kuo. Cited by 15