An improved artificial bee colony algorithm for solving constrained optimization problems
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[1] Rung Ching Chen,et al. An artificial bee colony algorithm for data collection path planning in sparse wireless sensor networks , 2013, International Journal of Machine Learning and Cybernetics.
[2] Oscar Castillo,et al. A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation , 2014, Expert Syst. Appl..
[3] William Zhu,et al. An improved artificial bee colony algorithm for minimal time cost reduction , 2014, Int. J. Mach. Learn. Cybern..
[4] Hsing-Chih Tsai,et al. Integrating the artificial bee colony and bees algorithm to face constrained optimization problems , 2014, Inf. Sci..
[5] M. Tuba,et al. An upgraded artificial bee colony (ABC) algorithm for constrained optimization problems , 2013, J. Intell. Manuf..
[6] R. Kumar,et al. A boundary restricted adaptive particle swarm optimization for data clustering , 2013, Int. J. Mach. Learn. Cybern..
[7] Oscar Castillo,et al. Comparison of fuzzy controllers for the water tank with Type-1 and Type-2 fuzzy logic , 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).
[8] Oscar Castillo,et al. Ant colony optimization for membership function design for a water tank fuzzy logic controller , 2013, 2013 IEEE Workshop on Hybrid Intelligent Models and Applications (HIMA).
[9] Dervis Karaboga,et al. A comprehensive survey: artificial bee colony (ABC) algorithm and applications , 2012, Artificial Intelligence Review.
[10] Minghao Yin,et al. Self-adaptive constrained artificial bee colony for constrained numerical optimization , 2014, Neural Computing and Applications.
[11] Efrén Mezura-Montes,et al. Empirical analysis of a modified Artificial Bee Colony for constrained numerical optimization , 2012, Appl. Math. Comput..
[12] Carlos A. Coello Coello,et al. Constraint-handling in nature-inspired numerical optimization: Past, present and future , 2011, Swarm Evol. Comput..
[13] Dervis Karaboga,et al. A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems , 2011, Appl. Soft Comput..
[14] Ivona Brajevic,et al. Performance of the improved artificial bee colony algorithm on standard engineering constrained problems , 2011 .
[15] Kalyanmoy Deb,et al. A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization , 2010, SEMCCO.
[16] Sam Kwong,et al. Gbest-guided artificial bee colony algorithm for numerical function optimization , 2010, Appl. Math. Comput..
[17] Ya-Xiang Yuan,et al. Optimization Theory and Methods: Nonlinear Programming , 2010 .
[18] Efrén Mezura-Montes,et al. Elitist Artificial Bee Colony for constrained real-parameter optimization , 2010, IEEE Congress on Evolutionary Computation.
[19] Jianchao Zeng,et al. Comparison and Analysis of the Selection Mechanism in the Artificial Bee Colony Algorithm , 2009, 2009 Ninth International Conference on Hybrid Intelligent Systems.
[20] Dervis Karaboga,et al. A comparative study of Artificial Bee Colony algorithm , 2009, Appl. Math. Comput..
[21] Efrén Mezura-Montes,et al. Exploring Promising Regions of the Search Space with the Scout Bee in the Artificial Bee Colony for Constrained Optimization , 2009 .
[22] Jun Zhang,et al. Multilayer Ensemble Pruning via Novel Multi-sub-swarm Particle Swarm Optimization , 2009, J. Univers. Comput. Sci..
[23] Yuping Wang,et al. A Ranking-Based Evolutionary Algorithm for Constrained Optimization Problems , 2007, Third International Conference on Natural Computation (ICNC 2007).
[24] Kwok-wing Chau,et al. Application of a PSO-based neural network in analysis of outcomes of construction claims , 2007 .
[25] Dervis Karaboga,et al. Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems , 2007, IFSA.
[26] Yong Wang,et al. A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization , 2006, IEEE Transactions on Evolutionary Computation.
[27] Jing J. Liang,et al. Problem Deflnitions and Evaluation Criteria for the CEC 2006 Special Session on Constrained Real-Parameter Optimization , 2006 .
[28] Chuntian Cheng,et al. Long-Term Prediction of Discharges in Manwan Hydropower Using Adaptive-Network-Based Fuzzy Inference Systems Models , 2005, ICNC.
[29] Angel Eduardo Muñoz Zavala,et al. Constrained optimization via particle evolutionary swarm optimization algorithm (PESO) , 2005, GECCO '05.
[30] Carlos A. Coello Coello,et al. A simple multimembered evolution strategy to solve constrained optimization problems , 2005, IEEE Transactions on Evolutionary Computation.
[31] Dervis Karaboga,et al. AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION , 2005 .
[32] Xiao-Feng Xie,et al. Handling boundary constraints for numerical optimization by particle swarm flying in periodic search space , 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).
[33] Russell C. Eberhart,et al. Solving Constrained Nonlinear Optimization Problems with Particle Swarm Optimization , 2002 .
[34] Michael N. Vrahatis,et al. Particle Swarm Optimization Method for Constrained Optimization Problems , 2002 .
[35] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .