A novel two-stage hybrid swarm intelligence optimization algorithm and application
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Bing He | Rong Chen | Wu Deng | Yaqing Liu | Lifeng Yin | Jinghuan Guo | Wu Deng | Lifeng Yin | Rong Chen | Bing He | Yaqing Liu | Jinghuan Guo
[1] George L. Nemhauser,et al. The Traveling Salesman Problem: A Survey , 1968, Oper. Res..
[2] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[3] Shu-Kai S. Fan,et al. A genetic algorithm and a particle swarm optimizer hybridized with Nelder-Mead simplex search , 2006, Comput. Ind. Eng..
[4] Erwie Zahara,et al. A hybrid genetic algorithm and particle swarm optimization for multimodal functions , 2008, Appl. Soft Comput..
[5] Chi-Bin Cheng,et al. A modified ant colony system for solving the travelling salesman problem with time windows , 2007, Math. Comput. Model..
[6] Georgios Dounias,et al. A hybrid particle swarm optimization algorithm for the vehicle routing problem , 2010, Eng. Appl. Artif. Intell..
[7] Xiao Zhi Gao,et al. A Hybrid Optimization Algorithm Based on Ant Colony and Immune Principles , 2007, Int. J. Comput. Sci. Appl..
[8] Zhongsheng Hua,et al. A variable-grouping based genetic algorithm for large-scale integer programming , 2006, Inf. Sci..
[9] Magdalene Marinaki,et al. A Hybrid Multi-Swarm Particle Swarm Optimization algorithm for the Probabilistic Traveling Salesman Problem , 2010, Comput. Oper. Res..
[10] Gary A. Dale,et al. An optical technique for detecting fatigue cracks in aerospace structures , 1999, ICIASF 99. 18th International Congress on Instrumentation in Aerospace Simulation Facilities. Record (Cat. No.99CH37025).
[11] Kai Zhao,et al. Solving the traveling salesman problem based on an adaptive simulated annealing algorithm with greedy search , 2011, Appl. Soft Comput..
[12] Cheng-Fa Tsai,et al. A new hybrid heuristic approach for solving large traveling salesman problem , 2004, Inf. Sci..
[13] Rong Chen,et al. A novel parallel hybrid intelligence optimization algorithm for a function approximation problem , 2012, Comput. Math. Appl..
[14] Richard M. Karp,et al. The Traveling-Salesman Problem and Minimum Spanning Trees , 1970, Oper. Res..
[15] E. M. Cochrane,et al. The co-adaptive neural network approach to the Euclidean Travelling Salesman Problem , 2003, Neural Networks.
[16] Serhat Duman,et al. A Hybrid GA-PSO Approach Based on Similarity for Various Types of Economic Dispatch Problems , 2011 .
[17] Thomas Stützle,et al. MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..
[18] Matteo Gaeta,et al. COMBINING MULTI‐AGENT PARADIGM AND MEMETIC COMPUTING FOR PERSONALIZED AND ADAPTIVE LEARNING EXPERIENCES , 2011, Comput. Intell..
[19] Alok Singh,et al. A new grouping genetic algorithm approach to the multiple traveling salesperson problem , 2008, Soft Comput..
[20] Hossein Miar Naimi,et al. New robust and efficient ant colony algorithms: Using new interpretation of local updating process , 2009, Expert Syst. Appl..
[21] Taher Niknam,et al. An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis , 2010, Appl. Soft Comput..
[22] Hsiang-Cheh Huang,et al. Genetic Watermarking for Zerotree-Based Applications , 2008 .
[23] Godfrey C. Onwubolu,et al. Optimal path for automated drilling operations by a new heuristic approach using particle swarm optimization , 2004 .
[24] F. Grimaccia,et al. A new hybrid evolutionary algorithm for high dimension electromagnetic problems , 2005, 2005 IEEE Antennas and Propagation Society International Symposium.
[25] Wen Li,et al. A novel hybrid optimization algorithm of computational intelligence techniques for highway passenger volume prediction , 2011, Expert Syst. Appl..
[26] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[27] Zhenbo Li,et al. Study on hybrid PS-ACO algorithm , 2011, Applied Intelligence.
[28] Yanchun Liang,et al. Particle swarm optimization-based algorithms for TSP and generalized TSP , 2007, Inf. Process. Lett..
[29] Shyi-Ming Chen,et al. Parallelized genetic ant colony systems for solving the traveling salesman problem , 2011, Expert Syst. Appl..
[30] Leandro Nunes de Castro,et al. A self-organizing neural network using ideas from the immune system to solve the traveling salesman problem , 2009, Inf. Sci..
[31] Yanqing Zhang,et al. A new evolutionary algorithm using shadow price guided operators , 2011, Appl. Soft Comput..
[32] Shengxiang Yang,et al. A memetic ant colony optimization algorithm for the dynamic travelling salesman problem , 2011, Soft Comput..
[33] Takao Terano,et al. A hybrid swarm intelligence algorithm for the travelling salesman problem , 2010, Expert Syst. J. Knowl. Eng..
[34] Ching-Chi Hsu,et al. An annealing framework with learning memory , 1998, IEEE Trans. Syst. Man Cybern. Part A.
[35] Paul H. Calamai,et al. Exchange strategies for multiple Ant Colony System , 2007, Inf. Sci..
[36] Chunguang Zhou,et al. Particle swarm optimization for traveling salesman problem , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
[37] Faouzi Kamoun,et al. Neural networks for shortest path computation and routing in computer networks , 1993, IEEE Trans. Neural Networks.
[38] B. Bullnheimer,et al. A NEW RANK BASED VERSION OF THE ANT SYSTEM: A COMPUTATIONAL STUDY , 1997 .
[39] Marco Dorigo,et al. Distributed Optimization by Ant Colonies , 1992 .
[40] Keivan Ghoseiri,et al. An ant colony system approach for fuzzy traveling salesman problem with time windows , 2010 .
[41] Ying-Wu Chen,et al. A hybrid approach combining an improved genetic algorithm and optimization strategies for the asymmetric traveling salesman problem , 2008, Eng. Appl. Artif. Intell..
[42] Novruz Allahverdi,et al. Development a new mutation operator to solve the Traveling Salesman Problem by aid of Genetic Algorithms , 2011, Expert Syst. Appl..
[43] Luca Maria Gambardella,et al. Ant colony system: a cooperative learning approach to the traveling salesman problem , 1997, IEEE Trans. Evol. Comput..
[44] Marco Mussetta,et al. A New Hybrid Technique for the Optimization of Large-Domain Electromagnetic Problems , 2005 .
[45] A. Ghanbarzadeh,et al. Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand est , 2010 .
[46] Taher Niknam,et al. A new approach for distribution state estimation based on ant colony algorithm with regard to distributed generation , 2005, J. Intell. Fuzzy Syst..
[47] Eugene L. Lawler,et al. Traveling Salesman Problem , 2016 .
[48] Takao Enkawa,et al. A self-organising model for the travelling salesman problem , 1997 .
[49] Mehmet Fatih Tasgetiren,et al. A genetic algorithm for the generalized traveling salesman problem , 2007, 2007 IEEE Congress on Evolutionary Computation.
[50] Erwie Zahara,et al. Hybrid Nelder-Mead simplex search and particle swarm optimization for constrained engineering design problems , 2009, Expert Syst. Appl..
[51] Maria Teresinha Arns Steiner,et al. A new approach to solve the traveling salesman problem , 2007, Neurocomputing.
[52] Guangzhou Zeng,et al. Study of genetic algorithm with reinforcement learning to solve the TSP , 2009, Expert Syst. Appl..
[53] Siamak Talatahari,et al. Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures , 2009 .
[54] Tim Hendtlass,et al. Preserving Diversity in Particle Swarm Optimisation , 2003, IEA/AIE.
[55] N. Adachi,et al. Accelerating genetic algorithms: protected chromosomes and parallel processing , 1995 .
[56] Amit Agarwal,et al. Hybrid ant colony algorithms for path planning in sparse graphs , 2008, Soft Comput..