Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Multi‐objective optimisation and multi‐criteria decision making in SLS using evolutionary approaches
NS Padhye, K Deb. Cited by 104
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Discovering Design Principles for Soft Multi-objective Decision Making
S Bandaru, Bittermann, K Deb
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Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms
AK Nandi, K Deb, S Ganguly, S Datta. Cited by 29
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Hybrid evolutionary multi-objective optimization and analysis of machining operations
K Deb, R Datta. Cited by 64
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Affective Interaction
DM Lottridge, M Chignell, A Jovičić. Cited by 88
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Kernel Function Model for Planning of Agricultural Groundwater Development
S Ghosh, D Kashyap. Cited by 10
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KKT proximity measure for testing convergence in smooth multi-objective optimization
R Tulshyan, K Deb, S Bandaru
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Design knowledge extraction in multi-objective optimization problems
S Bandaru, K Deb
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Quantitative modeling of customer perception from service data using evolutionary optimization
S Bandaru, K Deb, VR Khare, R Chougule. Cited by 4
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An EA-based approach to design optimization using evidence theory
RK Srivastava, K Deb. Cited by 10
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Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach
R Datta, K Deb. Cited by 30
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A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems
CK Goh, DZY Lim, L Ma, YS Ong, PS Dutta. Cited by 47