Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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Landscape synergy in evolutionary multitasking
A Gupta, YS Ong, B Da, L Feng, SD Handoko. Cited by 58
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Study of the approximation of the fitness landscape and the ranking process of scalarizing functions for many-objective problems
G Toscano‐Pulido, K Deb. Cited by 4
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A ranking and selection strategy for preference-based evolutionary multi-objective optimization of variable-noise problems
F Siegmund, AHC Ng, K Deb. Cited by 6
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High dimensional model representation for solving expensive multi-objective optimization problems
PC Roy, K Deb. Cited by 12
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Handling inverse optimal control problems using evolutionary bilevel optimization
V Suryan, A Sinha, P Malo, K Deb. Cited by 18
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Key challenges and future directions of dynamic multi-objective optimisation
M Helbig, K Deb, AP Engelbrecht. Cited by 21
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Solving optimistic bilevel programs by iteratively approximating lower level optimal value function
A Sinha, P Malo, K Deb. Cited by 26
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Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization
S Mahdavi, S Rahnamayan, K Deb. Cited by 27
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An evolutionary many-objective optimisation algorithm with adaptive region decomposition
H Liu, L Chen, Q Zhang, K Deb. Cited by 37
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EliteNSGA-III: An improved evolutionary many-objective optimization algorithm
A Ibrahim, S Rahnamayan, MV Martín, K Deb. Cited by 54
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3D-RadVis: Visualization of Pareto front in many-objective optimization
A Ibrahim, S Rahnamayan, MV Martín, K Deb. Cited by 70
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Multi-Criteria Code Refactoring Using Search-Based Software Engineering
A Ouni, M Kessentini, HA Sahraoui, K Inoue, K Deb. Cited by 140