A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization
暂无分享,去创建一个
[1] Hong-Bin Shen,et al. Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm , 2015, Eur. J. Oper. Res..
[2] Harish Sharma,et al. Accelerating Artificial Bee Colony algorithm with adaptive local search , 2015, Memetic Computing.
[3] Ming Yang,et al. Differential Evolution With Auto-Enhanced Population Diversity , 2015, IEEE Transactions on Cybernetics.
[4] Douglas H. Werner,et al. The Wind Driven Optimization Technique and its Application in Electromagnetics , 2013, IEEE Transactions on Antennas and Propagation.
[5] Jing J. Liang,et al. Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization , 2005 .
[6] Francisco Herrera,et al. A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms , 2011, Swarm Evol. Comput..
[7] Xin-She Yang,et al. Cuckoo Search via Lévy flights , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[8] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[9] Schrödinger. An Undulatory Theory of the Mechanics of Atoms and Molecules , 1926 .
[10] Dingyi Zhang,et al. A hybrid approach to artificial bee colony algorithm , 2015, Neural Computing and Applications.
[11] Mohamed Batouche,et al. A Quantum-Inspired Differential Evolution Algorithm for Solving the N-Queens Problem , 2010, Int. Arab J. Inf. Technol..
[12] Adam Paszkiewicz,et al. On quantum information , 2012, ArXiv.
[13] Jong-Hwan Kim,et al. Quantum-Inspired Evolutionary Algorithms With a New Termination Criterion , H Gate , and Two-Phase Scheme , 2009 .
[14] Xin-She Yang,et al. Cuckoo search: recent advances and applications , 2013, Neural Computing and Applications.
[15] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[16] Jun Zhang,et al. Adaptive Particle Swarm Optimization , 2008, ANTS Conference.
[17] Xiangtao Li,et al. Modified cuckoo search algorithm with self adaptive parameter method , 2015, Inf. Sci..
[18] Maurice Clerc,et al. Standard Particle Swarm Optimisation , 2012 .
[19] Adamu I. Abubakar,et al. Global Warming: Predicting OPEC Carbon Dioxide Emissions from Petroleum Consumption Using Neural Network and Hybrid Cuckoo Search Algorithm , 2015, PloS one.
[20] Yongquan Zhou,et al. A Novel Cuckoo Search Optimization Algorithm Base on Gauss Distribution , 2012 .
[21] Kenneth Morgan,et al. Modified cuckoo search: A new gradient free optimisation algorithm , 2011 .
[22] Xiangtao Li,et al. A particle swarm inspired cuckoo search algorithm for real parameter optimization , 2015, Soft Computing.
[23] Abdesslem Layeb,et al. A novel quantum inspired cuckoo search for knapsack problems , 2011, Int. J. Bio Inspired Comput..
[24] Jiann-Horng Lin,et al. Emotional Chaotic Cuckoo Search for the Reconstruction of Chaotic Dynamics , 2012 .
[25] Xueying Liu,et al. Cuckoo search algorithm based on frog leaping local search and chaos theory , 2015, Appl. Math. Comput..
[26] Denis Tolkunov,et al. Single temperature for Monte Carlo optimization on complex landscapes. , 2012, Physical review letters.
[27] Shu-Mei Guo,et al. Enhancing Differential Evolution Utilizing Eigenvector-Based Crossover Operator , 2015, IEEE Transactions on Evolutionary Computation.
[28] Ponnuthurai Nagaratnam Suganthan,et al. Problem Definitions and Evaluation Criteria for the CEC 2014 Special Session and Competition on Single Objective Real-Parameter Numerical Optimization , 2014 .
[29] Pauline Ong,et al. Adaptive Cuckoo Search Algorithm for Unconstrained Optimization , 2014, TheScientificWorldJournal.
[30] Xin-She Yang,et al. Engineering optimisation by cuckoo search , 2010 .
[31] Jong-Hwan Kim,et al. Quantum-inspired evolutionary algorithms with a new termination criterion, H/sub /spl epsi// gate, and two-phase scheme , 2004, IEEE Transactions on Evolutionary Computation.
[32] Ashish Kumar Bhandari,et al. Cuckoo search algorithm and wind driven optimization based study of satellite image segmentation for multilevel thresholding using Kapur's entropy , 2014, Expert Syst. Appl..
[33] Azlan Mohd Zain,et al. Cuckoo Search Algorithm for Optimization Problems—A Literature Review and its Applications , 2014, Appl. Artif. Intell..
[34] Hossein Nezamabadi-pour,et al. GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..
[35] Djamel-Eddine Saïdouni,et al. A New Quantum Evolutionary Local Search Algorithm for MAX 3-SAT Problem , 2008, HAIS.
[36] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[37] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[38] Hong-Bin Shen,et al. OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi–Sugeno Fuzzy Modeling , 2014, IEEE Transactions on Fuzzy Systems.
[39] Stephen M. Barnett,et al. Quantum information , 2005, Acta Physica Polonica A.
[40] Lingling Huang,et al. Artificial Bee Colony Algorithm Based on Information Learning , 2015, IEEE Transactions on Cybernetics.
[41] Xiangtao Li,et al. Enhancing the performance of cuckoo search algorithm using orthogonal learning method , 2013, Neural Computing and Applications.