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Kalyanmoy Deb
Kalyanmoy Deb
University Distinguished Professor, Electrical and Computer Engineering, Michigan State University
Verifisert e-postadresse på egr.msu.edu - Startside
Tittel
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A fast and elitist multiobjective genetic algorithm: NSGA-II
K Deb, A Pratap, S Agarwal, T Meyarivan
IEEE transactions on evolutionary computation 6 (2), 182-197, 2002
57825*2002
Multi-objective optimization using evolutionary algorithms
K Deb
Wiley, 2005
22784*2005
Muiltiobjective optimization using nondominated sorting in genetic algorithms
N Srinivas, K Deb
Evolutionary computation 2 (3), 221-248, 1994
102131994
Comparison of multiobjective evolutionary algorithms: Empirical results
E Zitzler, K Deb, L Thiele
Evolutionary computation 8 (2), 173-195, 2000
74762000
An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: Solving problems with box constraints
K Deb, H Jain
IEEE Transactions on Evolutionary Computation 18 (4), 577-601, 2014
59552014
An efficient constraint handling method for genetic algorithms
K Deb
Computer methods in applied mechanics and engineering 186 (2-4), 311-338, 2000
49342000
Simulated binary crossover for continuous search space
K Deb, RB Agrawal
Complex systems 9 (2), 115-148, 1995
43141995
A comparative analysis of selection schemes used in genetic algorithms
DE Goldberg, K Deb
Foundations of genetic algorithms 1, 69-93, 1991
40671991
Problem definitions and evaluation criteria for the CEC2005 special session on real-parameter optimization (2005)
PN Suganthan, N Hansen, JJ Liang, K Deb, YP Chen, A Auger, S Tiwari
URL http://www. ntu. edu. sg/home/EPNSugan, 0
2890*
Scalable test problems for evolutionary multiobjective optimization
K Deb, L Thiele, M Laumanns, E Zitzler
Evolutionary Multiobjective Optimization, 105-145, 2005
26582005
Optimization for engineering design: Algorithms and examples
K Deb
PHI Learning Pvt. Ltd., 2004
2142*2004
Multi-objective optimization
K Deb
Search methodologies, 403-449, 2014
21372014
Messy genetic algorithms: Motivation, analysis, and first results
D Goldberg, K Deb, B Korb
Complex systems, 493-530, 1989
21191989
Scalable multi-objective optimization test problems
K Deb, L Thiele, M Laumanns, E Zitzler
Evolutionary Computation, 2002. CEC'02. Proceedings of the 2002 Congress on …, 2002
20972002
Multi-objective genetic algorithms: Problem difficulties and construction of test problems
K Deb
Evolutionary computation 7 (3), 205-230, 1999
19071999
Combining convergence and diversity in evolutionary multiobjective optimization
M Laumanns, L Thiele, K Deb, E Zitzler
Evolutionary computation 10 (3), 263-282, 2002
18872002
An evolutionary many-objective optimization algorithm using reference-point based nondominated sorting approach, part II: handling constraints and extending to an …
H Jain, K Deb
IEEE Transactions on Evolutionary Computation 18 (4), 602-622, 2014
17782014
A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Mulit-Objedtive Optimization: NSGA-II
K Deb
KanGAL report 200001, 2000
1726*2000
Pymoo: Multi-objective optimization in python
J Blank, K Deb
Ieee access 8, 89497-89509, 2020
16352020
A combined genetic adaptive search (GeneAS) for engineering design
K Deb, M Goyal
Computer Science and informatics 26, 30-45, 1996
16081996
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Artikler 1–20