Decision Support Systems
Models and tools that help people make well-informed decisions in complex, uncertain settings.
-
Measuring evolvability in evolutionary fuzzy robotics
S Lee, SB Cho
-
Evolving speciated checkers players with crowding algorithm
KJ Kim, SB Cho. Cited by 8
-
Analysis of direct manipulation in interactive evolutionary computation on fitness landscape
JH Lee, SB Cho. Cited by 10
-
Real-coded evolutionary algorithms with parent-centric recombination
K Deb, D Joshi, A Anand. Cited by 90
-
An evolutionary algorithm for constrained multi-objective optimization
F Jiménez, A Skármeta, G Sánchez, K Deb. Cited by 94
-
Scalable multi-objective optimization test problems
K Deb, L Thiele, M Laumanns, E Zitzler. Cited by 1636
-
Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
CM Fonseca, PJ Fleming, E Zitzler, L Thiele, K Deb. Cited by 54
-
Evolutionary Optimization of Computationally Expensive Problems via Surrogate Modeling
YS Ong, PB Nair, AJ Keane. Cited by 564
-
Towards understanding constraint-handling methods in evolutionary algorithms
Z Michalewicz, K Deb, MH Schmidt, T Stidsen. Cited by 6
-
Fuzzy-genetic algorithms and mobile robot navigation among static obstacles
DK Pratihar, K Deb, A Ghosh. Cited by 23
-
An alternative constraint handling method for evolution strategies
AI Oyman, K Deb, HG Beyer. Cited by 26
-
Solving goal programming problems using multi-objective genetic algorithms
K Deb. Cited by 82