An immune algorithm with stochastic aging and kullback entropy for the chromatic number problem
暂无分享,去创建一个
[1] Paolo Dell'Olmo,et al. Iterative coloring extension of a maximum clique , 2001 .
[2] Chak-Kuen Wong,et al. A new model of simulated evolutionary computation-convergence analysis and specifications , 2001, IEEE Trans. Evol. Comput..
[3] Simon M. Garrett,et al. How Do We Evaluate Artificial Immune Systems? , 2005, Evolutionary Computation.
[4] D. de Werra,et al. An introduction to timetabling , 1985 .
[5] S. Motta,et al. Pattern recognition by primary and secondary response of an Artificial Immune System , 2001 .
[6] Fernando José Von Zuben,et al. Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..
[7] Jin-Kao Hao,et al. Hybrid Evolutionary Algorithms for Graph Coloring , 1999, J. Comb. Optim..
[8] Reinhard Diestel,et al. Graph Theory , 1997 .
[9] David S. Johnson,et al. Cliques, Coloring, and Satisfiability , 1996 .
[10] R. L. Brooks. On Colouring the Nodes of a Network , 1941 .
[11] Béla Bollobás,et al. Modern Graph Theory , 2002, Graduate Texts in Mathematics.
[12] P E Seiden,et al. A model for simulating cognate recognition and response in the immune system. , 1992, Journal of theoretical biology.
[13] D. Dasgupta. Artificial Immune Systems and Their Applications , 1998, Springer Berlin Heidelberg.
[14] E. Jaynes. Probability theory : the logic of science , 2003 .
[15] Leandro Nunes de Castro,et al. The Clonal Selection Algorithm with Engineering Applications 1 , 2000 .
[16] Fred W. Glover,et al. Coloring by tabu branch and bound , 1993, Cliques, Coloring, and Satisfiability.
[17] Cecilia R. Aragon,et al. Optimization by Simulated Annealing: An Experimental Evaluation; Part II, Graph Coloring and Number Partitioning , 1991, Oper. Res..
[18] D. S. Sivia,et al. Data Analysis , 1996, Encyclopedia of Evolutionary Psychological Science.
[19] Feng Luo,et al. Exploring the k-colorable landscape with Iterated Greedy , 1993, Cliques, Coloring, and Satisfiability.
[20] Vincenzo Cutello,et al. Clonal Selection Algorithms: A Comparative Case Study Using Effective Mutation Potentials , 2005, ICARIS.
[21] K. Brown,et al. Graduate Texts in Mathematics , 1982 .
[22] John Skilling,et al. Data analysis : a Bayesian tutorial , 1996 .
[23] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[24] Robert I. Damper,et al. Breaking the symmetry of the graph colouring problem with genetic algorithms , 2000 .
[25] Graph colorings and the axiom of choice , 1991 .
[26] Edward P. K. Tsang,et al. Foundations of constraint satisfaction , 1993, Computation in cognitive science.
[27] Charles F. Hockett,et al. A mathematical theory of communication , 1948, MOCO.
[28] Jonathan Timmis,et al. Artificial immune systems - a new computational intelligence paradigm , 2002 .
[29] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[30] Anne Condon,et al. Experiments with parallel graph coloring heuristics and applications of graph coloring , 1993, Cliques, Coloring, and Satisfiability.
[31] Craig A. Morgenstern. Distributed coloration neighborhood search , 1993, Cliques, Coloring, and Satisfiability.
[32] Vincenzo Cutello,et al. Immune Algorithms with Aging Operators for the String Folding Problem and the Protein Folding Problem , 2005, EvoCOP.
[33] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .
[34] Magnús M. Hallórsson. A still better performance guarantee for approximate graph coloring , 1993 .
[35] Magnús M. Halldórsson,et al. A Still Better Performance Guarantee for Approximate Graph Coloring , 1993, Information Processing Letters.
[36] Michael A. Trick,et al. A Column Generation Approach for Graph Coloring , 1996, INFORMS J. Comput..
[37] Valmir Carneiro Barbosa,et al. Two Novel Evolutionary Formulations of the Graph Coloring Problem , 2003, J. Comb. Optim..
[38] Frank Thomson Leighton,et al. A Graph Coloring Algorithm for Large Scheduling Problems. , 1979, Journal of research of the National Bureau of Standards.
[39] S. Forrest,et al. Immunology as Information Processing , 2001 .
[40] Vincenzo Cutello,et al. An immune algorithm with hyper-macromutations for the Dill's 2D hydrophobic-hydrophilic model , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[41] Jin-Kao Hao,et al. Mic'2001 -4th Metaheuristics International Conference an Analysis of Solution Properties of the Graph Coloring Problem , 2001 .
[42] Giuseppe Nicosia,et al. Pattern recognition by primary and secondary response of an Artificial Immune System , 2001, Theory in Biosciences.
[43] Charles Fleurent,et al. Object-oriented implementation of heuristic search methods for Graph Coloring, Maximum Clique, and Satisfiability , 1993, Cliques, Coloring, and Satisfiability.
[44] Celia A. Glass,et al. Genetic Algorithm for Graph Coloring: Exploration of Galinier and Hao's Algorithm , 2003, J. Comb. Optim..
[45] Zbigniew Michalewicz,et al. Parameter Control in Evolutionary Algorithms , 2007, Parameter Setting in Evolutionary Algorithms.
[46] David S. Johnson,et al. An application of graph coloring to printed circuit testing , 1975, 16th Annual Symposium on Foundations of Computer Science (sfcs 1975).
[47] Vincenzo Cutello,et al. Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators , 2004, ICARIS.
[48] John L. Hennessy,et al. The priority-based coloring approach to register allocation , 1990, TOPL.
[49] Vincenzo Cutello,et al. An Immunological Algorithm for Global Numerical Optimization , 2005, Artificial Evolution.
[50] Vincenzo Cutello,et al. A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem , 2003, GECCO.
[51] A. Gamst,et al. Some lower bounds for a class of frequency assignment problems , 1986, IEEE Transactions on Vehicular Technology.
[52] Giorgio Gambosi,et al. Complexity and Approximation , 1999, Springer Berlin Heidelberg.