Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
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A study on constrained MA using GA and SQP: Analytical vs. finite-difference gradients
SD Handoko, CK Kwoh, YS Ong, MH Lim. Cited by 5
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Memetic Gradient Search
B Li, YS Ong, MN Le, CK Goh. Cited by 17
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An investigation on evolutionary gradient search for multi-objective optimization
CK Goh, YS Ong, KC Tan, EJ Teoh. Cited by 35
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Design and validation of a hybrid interactive reference point method for multi-objective optimization
M Sathe, G Rudolph, K Deb. Cited by 1
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Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design
K Deb, K Sindhya. Cited by 12
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Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure
D Sharma, K Deb, NN Kishore. Cited by 21
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Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective
DK Saxena, K Deb. Cited by 28
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A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
S Bandyopadhyay, S Saha, U Maulik, K Deb. Cited by 854
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Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead
J Wallenius, JS Dyer, PC Fishburn, RE Steuer, S Zionts, K Deb. Cited by 849
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A Genetic Algorithm Based Bus Scheduling Model for Transit Network
FA Kidwai, K Deb, BR Marwah, MR Karim. Cited by 27
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Multiobjective Problem Solving from Nature: From Concepts to Applications (Natural Computing Series)
JD Knowles, D Corne, K Deb. Cited by 47
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A Multi-Objective Memetic Algorithm Based Clustering Method.
AD Do, S Cho, YS Ong. Cited by 1