Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization
DZY Lim, YS Ong, A Gupta, CK Goh, PS Dutta. Cited by 20
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A generic framework for multi-criteria decision support in eco-friendly urban logistics systems
A Gupta, CK Heng, YS Ong, PS Tan, ANS Zhang. Cited by 39
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Solving metameric variable-length optimization problems using genetic algorithms
M Ryerkerk, RC Averill, K Deb, ED Goodman. Cited by 53
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Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping
A Sinha, P Malo, K Deb. Cited by 121
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Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms
ÖT Altınöz, K Deb. Cited by 3
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A derived heuristics based multi-objective optimization procedure for micro-grid scheduling
X Li, K Deb, Y Fang. Cited by 21
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RDS-NSGA-II: a memetic algorithm for reference point based multi-objective optimization
JAH Mejía, O Schütze, O Cuate, A Lara, K Deb. Cited by 23
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Evolutionary Bilevel Optimization: An Introduction and Recent Advances
A Sinha, P Malo, K Deb. Cited by 33
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Optimum Design of Artificial Lateral Line Systems for Object Tracking under Uncertain Conditions
A Ahrari, H Lei, MA Sharif, K Deb, X Tan. Cited by 1
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Maintaining Diversity in The Bounded Pareto-Set
AKA Talukder, K Deb, S Rahnamayan. Cited by 3
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Finding Reliable Solutions in Bilevel Optimization Problems Under Uncertainties
Z Lu, K Deb, A Sinha. Cited by 6
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Karush-Kuhn-Tucker Proximity Measure for Multi-Objective Optimization Based on Numerical Gradients
M Abouhawwash, K Deb. Cited by 7