Performance evaluation of TRIBES, an adaptive particle swarm optimization algorithm
暂无分享,去创建一个
[1] Craig W. Reynolds. Flocks, herds, and schools: a distributed behavioral model , 1998 .
[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] Pedro J. Ballester,et al. Real-parameter optimization performance study on the CEC-2005 benchmark with SPC-PNX , 2005, 2005 IEEE Congress on Evolutionary Computation.
[4] Godfrey C. Onwubolu,et al. New optimization techniques in engineering , 2004, Studies in Fuzziness and Soft Computing.
[5] Saku Kukkonen,et al. Real-parameter optimization with differential evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[6] Kalyanmoy Deb,et al. A population-based, steady-state procedure for real-parameter optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[7] Marco Dorigo,et al. AntNet: Distributed Stigmergetic Control for Communications Networks , 1998, J. Artif. Intell. Res..
[8] Keiichiro Yasuda,et al. Adaptive particle swarm optimization using velocity information of swarm , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).
[9] Frank Harary,et al. Graph Theory , 2016 .
[10] M. Clerc,et al. Particle Swarm Optimization , 2006 .
[11] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[12] Suganthan. [IEEE 1999. Congress on Evolutionary Computation-CEC99 - Washington, DC, USA (6-9 July 1999)] Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406) - Particle swarm optimiser with neighbourhood operator , 1999 .
[13] Q. Henry Wu,et al. MCPSO: A multi-swarm cooperative particle swarm optimizer , 2007, Appl. Math. Comput..
[14] Jing J. Liang,et al. Novel composition test functions for numerical global optimization , 2005, Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005..
[15] Sabre Kais,et al. Pivot method for global optimization , 1997 .
[16] John H. Holland,et al. Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .
[17] Carlos García-Martínez,et al. Hybrid real-coded genetic algorithms with female and male differentiation , 2005, 2005 IEEE Congress on Evolutionary Computation.
[18] Russell C. Eberhart,et al. Adaptive particle swarm optimization: detection and response to dynamic systems , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[19] Yutian Liu,et al. An adaptive PSO algorithm for reactive power optimization , 2003 .
[20] Anne Auger,et al. Performance evaluation of an advanced local search evolutionary algorithm , 2005, 2005 IEEE Congress on Evolutionary Computation.
[21] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[22] Oliver Vornberger,et al. An Adaptive Parallel Genetic Algorithm for VLSI-Layout Optimization , 1996, PPSN.
[23] Jing J. Liang,et al. Dynamic multi-swarm particle swarm optimizer with local search , 2005, 2005 IEEE Congress on Evolutionary Computation.
[24] Hidefumi Sawai,et al. Genetic algorithm inspired by gene duplication , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[25] Petr Posík,et al. Real-parameter optimization using the mutation step co-evolution , 2005, 2005 IEEE Congress on Evolutionary Computation.
[26] Manuel Laguna,et al. Fine-Tuning of Algorithms Using Fractional Experimental Designs and Local Search , 2006, Oper. Res..
[27] Maurice Clerc. Binary Particle Swarm Optimisers: toolbox, derivations, and mathematical insights , 2005 .
[28] Ioan Cristian Trelea,et al. The particle swarm optimization algorithm: convergence analysis and parameter selection , 2003, Inf. Process. Lett..
[29] V. Deved,et al. Proceedings of the 24th IASTED international conference on Artificial intelligence and applications , 2006 .
[30] Xiao-Feng Xie,et al. Adaptive particle swarm optimization on individual level , 2002, 6th International Conference on Signal Processing, 2002..
[31] Riccardo Poli,et al. Particle Swarm Optimisation , 2011 .
[32] Lester Ingber,et al. Adaptive simulated annealing (ASA): Lessons learned , 2000, ArXiv.
[33] James Kennedy,et al. Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.
[34] Kevin Leyton-Brown,et al. Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms , 2006, CP.
[35] A. Kai Qin,et al. Self-adaptive differential evolution algorithm for numerical optimization , 2005, 2005 IEEE Congress on Evolutionary Computation.
[36] Thomas Stützle,et al. A Racing Algorithm for Configuring Metaheuristics , 2002, GECCO.
[37] Baruch Rosenstein,et al. Dynamical analysis of survival of Kosterlitz-Thouless pairs due to pinning , 1997 .
[38] Andries Petrus Engelbrecht,et al. Using neighbourhoods with the guaranteed convergence PSO , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[39] Amir Nakib,et al. Magnetic Resonance Image Segmentation Based on Two-Dimensional Exponential Entropy and a Parameter Free PSO , 2007, Artificial Evolution.
[40] Frans van den Bergh,et al. An analysis of particle swarm optimizers , 2002 .
[41] James Kennedy,et al. Bare bones particle swarms , 2003, Proceedings of the 2003 IEEE Swarm Intelligence Symposium. SIS'03 (Cat. No.03EX706).
[42] Yongling Zheng,et al. On the convergence analysis and parameter selection in particle swarm optimization , 2003, Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693).
[43] Nikolaus Hansen,et al. A restart CMA evolution strategy with increasing population size , 2005, 2005 IEEE Congress on Evolutionary Computation.
[44] Gabriella Kókai,et al. Self-adaptive ant colony optimisation applied to function allocation in vehicle networks , 2007, GECCO '07.
[45] J. A. Lozano,et al. Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation , 2001 .
[46] Konstantinos E. Parsopoulos,et al. MULTIOBJECTIVE OPTIMIZATION USING PARALLEL VECTOR EVALUATED PARTICLE SWARM OPTIMIZATION , 2003 .
[47] P. Suganthan. Particle swarm optimiser with neighbourhood operator , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[48] Marco Dorigo,et al. Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.
[49] R. Eberhart,et al. Fuzzy adaptive particle swarm optimization , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).
[50] Donald E. Waagen,et al. Proceedings of the 7th International Conference on Evolutionary Programming VII , 1998 .
[51] K. Yasumoto,et al. Agent Oriented Self Adaptive Genetic Algorithm , 2003 .
[52] Pierre Paris,et al. Shell model level structure of {sup 216}Fr , 1997 .
[53] Francisco Herrera,et al. Adaptive local search parameters for real-coded memetic algorithms , 2005, 2005 IEEE Congress on Evolutionary Computation.
[54] Godfrey C. Onwubolu. TRIBES application to the flow shop scheduling problem , 2004 .
[55] James Kennedy,et al. Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[56] Weicai Zhong,et al. A multiagent genetic algorithm for global numerical optimization , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[57] M.N. Vrahatis,et al. Particle swarm optimizers for Pareto optimization with enhanced archiving techniques , 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..
[58] E. Wilson,et al. Sociobiology: The New Synthesis , 1975 .
[59] Marcus Gallagher,et al. Experimental results for the special session on real-parameter optimization at CEC 2005: a simple, continuous EDA , 2005, 2005 IEEE Congress on Evolutionary Computation.
[60] Maurice Clerc,et al. The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..
[61] Hamid Aghvami,et al. Understanding UMTS Radio Network Modelling, Planning and Automated Optimisation: Theory and Practice , 2006 .
[62] Victor J. Rayward-Smith,et al. Modern Heuristic Search Methods , 1996 .
[63] Zhang Duan. Self-adaptive ant colony optimization routing algorithm for mobile Ad Hoc network , 2009 .