Genetic algorithms K Sastry, D Goldberg, G Kendall Search methodologies: Introductory tutorials in optimization and decision …, 2005 | 718 | 2005 |
Linkage learning via probabilistic modeling in the extended compact genetic algorithm (ecga) GR Harik, FG Lobo, K Sastry Scalable optimization via probabilistic modeling, 39-61, 2006 | 702 | 2006 |
Scalable optimization via probabilistic modeling: From algorithms to applications M Pelikan, K Sastry, E Cantú-Paz Springer, 2007 | 244 | 2007 |
Estimation of heat transfer parameters in a trickle-bed reactor using differential evolution and orthogonal collocation BV Babu, KKN Sastry Computers & Chemical Engineering 23 (3), 327-339, 1999 | 225 | 1999 |
Evaluation-relaxation schemes for genetic and evolutionary algorithms K Sastry University of Illinois at Urbana-Champaign, 2001 | 158 | 2001 |
Scalability of the Bayesian optimization algorithm M Pelikan, K Sastry, DE Goldberg International Journal of Approximate Reasoning 31 (3), 221-258, 2002 | 149 | 2002 |
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness X Llora, K Sastry, DE Goldberg, A Gupta, L Lakshmi Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 146 | 2005 |
Probabilistic model building and competent genetic programming K Sastry, DE Goldberg Genetic programming theory and practice, 205-220, 2003 | 143 | 2003 |
Multiobjective hBOA, clustering, and scalability M Pelikan, K Sastry, DE Goldberg Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 141 | 2005 |
Don't evaluate, inherit K Sastry, DE Goldberg, M Pelikan Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001 | 126 | 2001 |
Dependency structure matrix, genetic algorithms, and effective recombination TL Yu, DE Goldberg, K Sastry, CF Lima, M Pelikan Evolutionary computation 17 (4), 595-626, 2009 | 111 | 2009 |
Fitness Inheritance In Multi-objective Optimization. JH Chen, DE Goldberg, SY Ho, K Sastry GECCO 2, 319-326, 2002 | 111 | 2002 |
Genetic algorithms: the design of innovation D Goldberg, K Sastry Springer, 2007 | 110 | 2007 |
A practical schema theorem for genetic algorithm design and tuning DE Goldberg, K Sastry Proceedings of the 3rd Annual Conference on Genetic and Evolutionary …, 2001 | 110 | 2001 |
Bayesian optimization algorithm, decision graphs, and Occam’s razor M Pelikan, DE Goldberg, K Sastry Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001 | 108 | 2001 |
Fitness inheritance in the Bayesian optimization algorithm M Pelikan, K Sastry Genetic and Evolutionary Computation Conference, 48-59, 2004 | 104 | 2004 |
Tournament selection: Stable fitness pressure in XCS MV Butz, K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 1857-1869, 2003 | 96 | 2003 |
Scalability of a hybrid extended compact genetic algorithm for ground state optimization of clusters K Sastry, DE Goldberg, DD Johnson Materials and Manufacturing Processes 22 (5), 570-576, 2007 | 95 | 2007 |
A survey of linkage learning techniques in genetic and evolutionary algorithms Y Chen, TL Yu, K Sastry, DE Goldberg IlliGAL report 2007014, 2007 | 93 | 2007 |
Designing competent mutation operators via probabilistic model building of neighborhoods K Sastry, DE Goldberg Genetic and Evolutionary Computation Conference, 114-125, 2004 | 93 | 2004 |