Competitive Hopfield Network Combined With Estimation of Distribution for Maximum Diversity Problems
暂无分享,去创建一个
Yunong Zhang | Yalan Zhou | Jiahai Wang | Jian Yin | Yunong Zhang | Jiahai Wang | Yalan Zhou | Jian Yin
[1] Kate A. Smith,et al. Hopfield neural networks for timetabling: formulations, methods, and comparative results , 2003 .
[2] Luiz Satoru Ochi,et al. New heuristics for the maximum diversity problem , 2007, J. Heuristics.
[3] Kazuyuki Aihara,et al. Chaotic simulated annealing by a neural network model with transient chaos , 1995, Neural Networks.
[4] S. Martins,et al. MIC 2003 : The Fifth Metaheuristics International Conference ? ?-1 GRASP for the maximum diversity problem , 2005 .
[5] Gintaras Palubeckis,et al. Iterated tabu search for the maximum diversity problem , 2007, Appl. Math. Comput..
[6] Nobuo Funabiki,et al. A Gradual Neural Network Algorithm for Broadcast Scheduling Problems in Packet Radio Networks (Special Section on Discrete Mathematics and Its Applications) , 1999 .
[7] Qingfu Zhang,et al. An evolutionary algorithm with guided mutation for the maximum clique problem , 2005, IEEE Transactions on Evolutionary Computation.
[8] F. Glover,et al. Analyzing and Modeling the Maximum Diversity Problem by Zero‐One Programming* , 1993 .
[9] Yoshiyasu Takefuji,et al. A neural network parallel algorithm for channel assignment problems in cellular radio networks , 1992 .
[10] Mustapha Nourelfath,et al. Quantized hopfield networks for reliability optimization , 2003, Reliab. Eng. Syst. Saf..
[11] Qingfu Zhang,et al. Iterated Local Search with Guided Mutation , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[12] Jack J. Dongarra,et al. Performance of various computers using standard linear equations software in a FORTRAN environment , 1988, CARN.
[13] Jay B. Ghosh,et al. Computational aspects of the maximum diversity problem , 1996, Oper. Res. Lett..
[14] Uriel Feige,et al. The Dense k -Subgraph Problem , 2001, Algorithmica.
[15] Hongmei He,et al. An Improved Neural Network Model for the Two-Page Crossing Number Problem , 2006, IEEE Transactions on Neural Networks.
[16] Fred Glover,et al. A discrete optimization model for preserving biological diversity , 1995 .
[17] Nobuo Funabiki,et al. A binary Hopfield neural-network approach for satellite broadcast scheduling problems , 1997, IEEE Trans. Neural Networks.
[18] Yoichi Takenaka,et al. An expanded maximum neural network algorithm for a channel assignment problem in cellular radio networks , 2000 .
[19] José Muñoz-Pérez,et al. Design and analysis of maximum Hopfield networks , 2001, IEEE Trans. Neural Networks.
[20] David S. Johnson,et al. Experimental Analysis of Heuristics for the STSP , 2007 .
[21] Nenad Mladenović,et al. An Introduction to Variable Neighborhood Search , 1997 .
[22] Elder M. Macambira. An Application of Tabu Search Heuristic for the Maximum Edge-Weighted Subgraph Problem , 2002, Ann. Oper. Res..
[23] Fred W. Glover,et al. Tabu Search - Part I , 1989, INFORMS J. Comput..
[24] Barun Chandra,et al. Approximation Algorithms for Dispersion Problems , 2001, J. Algorithms.
[25] J. J. Hopfield,et al. “Neural” computation of decisions in optimization problems , 1985, Biological Cybernetics.
[26] Rex K. Kincaid. Good solutions to discrete noxious location problems via metaheuristics , 1992, Ann. Oper. Res..
[27] Abder Koukam,et al. A memetic neural network for the Euclidean traveling salesman problem , 2009, Neurocomputing.
[28] Alexandre Plastino,et al. GRASP with Path-Relinking for the Maximum Diversity Problem , 2005, WEA.
[29] Ulrich Faigle,et al. A Lagrangian relaxation approach to the edge-weighted clique problem , 2001, Eur. J. Oper. Res..
[30] John J. Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities , 1999 .
[31] Yoshiyasu Takefuji,et al. Comparisons of Seven Neural Network Models on Traffic Control Problems in Multistage Interconnection Networks , 1993, IEEE Trans. Computers.
[32] Roberto Cordone,et al. Better and faster solutions for the maximum diversity problem , 2006 .
[33] H. Mühlenbein,et al. From Recombination of Genes to the Estimation of Distributions I. Binary Parameters , 1996, PPSN.
[34] Fred Glover,et al. Tabu Search - Part II , 1989, INFORMS J. Comput..
[35] Qingfu Zhang,et al. Combinations of estimation of distribution algorithms and other techniques , 2007, Int. J. Autom. Comput..
[36] Guanghui Lan,et al. On the effectiveness of incorporating randomness and memory into a multi-start metaheuristic with application to the Set Covering Problem , 2006, Comput. Ind. Eng..
[37] Satoshi Matsuda,et al. Quantized Hopfield networks for integer programming , 1999, Systems and Computers in Japan.
[38] Cid C. de Souza,et al. The edge-weighted clique problem: Valid inequalities, facets and polyhedral computations , 2000, Eur. J. Oper. Res..
[39] Qingfu Zhang,et al. Evolutionary Algorithms Refining a Heuristic: A Hybrid Method for Shared-Path Protections in WDM Networks Under SRLG Constraints , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[40] S. S. Ravi,et al. Heuristic and Special Case Algorithms for Dispersion Problems , 1994, Oper. Res..
[41] Nobuo Funabiki,et al. A gradual neural-network approach for frequency assignment in satellite communication systems , 1997, IEEE Trans. Neural Networks.
[42] J J Hopfield,et al. Neurons with graded response have collective computational properties like those of two-state neurons. , 1984, Proceedings of the National Academy of Sciences of the United States of America.
[43] Michael M. Sørensen,et al. New facets and a branch-and-cut algorithm for the weighted clique problem , 2004, Eur. J. Oper. Res..
[44] David E. Goldberg,et al. The compact genetic algorithm , 1999, IEEE Trans. Evol. Comput..
[45] Refael Hassin,et al. Approximation algorithms for maximum dispersion , 1997, Oper. Res. Lett..
[46] James Smith,et al. A tutorial for competent memetic algorithms: model, taxonomy, and design issues , 2005, IEEE Transactions on Evolutionary Computation.
[47] Abraham Duarte,et al. Tabu search and GRASP for the maximum diversity problem , 2007, Eur. J. Oper. Res..
[48] Luiz Satoru Ochi,et al. Experimental Comparison of Greedy Randomized Adaptive Search Procedures for the Maximum Diversity Problem , 2004, WEA.
[49] Michael Kuby. Programming models for facility dispersion: the p-dispersion and maxisum dispersion problems , 1988 .
[50] David E. Goldberg,et al. A Survey of Optimization by Building and Using Probabilistic Models , 2002, Comput. Optim. Appl..
[51] Rafael Martí. Multi-Start Methods , 2003, Handbook of Metaheuristics.
[52] Ondrej Sýkora,et al. A Hopfield Neural Network Model for the Outerplanar Drawing Problem , 2006, IMECS.
[53] Roberto Cordone,et al. Tabu Search versus GRASP for the maximum diversity problem , 2008, 4OR.
[54] Wen Liu,et al. Noisy Chaotic Neural Networks With Variable Thresholds for the Frequency Assignment Problem in Satellite Communications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[55] Ram Dantu,et al. An Impatient Evolutionary Algorithm With Probabilistic Tabu Search for Unified Solution of Some NP-Hard Problems in Graph and Set Theory via Clique Finding , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[56] José Muñoz,et al. A neural model for the p-median problem , 2008, Comput. Oper. Res..
[57] Shumeet Baluja,et al. A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning , 1994 .
[58] Jiahai Wang,et al. A binary Hopfield neural network with hysteresis for large crossbar packet-switches , 2005, Neurocomputing.
[59] Fred W. Glover,et al. Solving the maximum edge weight clique problem via unconstrained quadratic programming , 2007, Eur. J. Oper. Res..
[60] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[61] Jun Wang,et al. Digital hardware realization of a recurrent neural network for solving the assignment problem , 2003, Neurocomputing.