Dragoi, E. N., Curteanu, S., Cascaval, D., & Galaction, A. I. (2015). SEPARATION OF SUCCINIC ACID FROM FERMENTATION BROTHS. MODELLING AND OPTIMIZATION. Environmental Engineering and Management Journal, 14(3), 533-539.
Qian, S., Ye, Y., Jiang, B., & Wang, J. (2015). Constrained Multiobjective Optimization Algorithm Based on Immune System Model.
Year 2014 : 2 citations
Li, Z., Li, Y., Kuang, L., & Yu, F. (2014, July). Artificial immune system application for solving dynamic optimization problems. In Neural Networks (IJCNN), 2014 International Joint Conference on (pp. 2906-2911). IEEE.
Abello, M. B. (2014). Application of Memory-Based Approach to Multi-Objective Optimisation on Dynamic Resource-Constrained Project Scheduling with Time-varying Number of Tasks (Doctoral dissertation, University of Adelaide).
Year 2013 : 10 citations
Weiwei Zhang, and Gary G. Yen. "A quasi-gradient and cluster-based artificial immune system for dynamic optimization.", 2013 IEEE Congress on Evolutionary Computation (CEC), pp. 2306-2313, IEEE, 2013.
Wuhui Hong, Qian Shu, Qu Xuzhi Dan (2013). Clonal selection immune genetic algorithm for high dimensional 0/1 knapsack problem applications, Computer Applications, Number 3, pp. 845-848, 2013.
Halder, U., Das, S., & Maity, D. (2013). A cluster-based differential evolution algorithm with external archive for optimization in dynamic environments. Cybernetics, IEEE Transactions on, 43(3), 881-897.
Yang, S., Jiang, Y., & Nguyen, T. T. (2013). Metaheuristics for dynamic combinatorial optimization problems. IMA Journal of Management Mathematics, 24(4), 451-480.
Nguyen, T. T., Yang, S., Branke, J., & Yao, X. (2013). Evolutionary dynamic optimization: methodologies. In Evolutionary Computation for Dynamic Optimization Problems (pp. 39-64). Springer Berlin Heidelberg.
Qian, S. Q., & Wu, H. H. (2013, January). Dynamic immune optimization algorithm for Knapsack problem in dynamic environments. In Conference Anthology, IEEE (pp. 1-4). IEEE.
Mavrovouniotis, M. (2013). Ant Colony Optimization in Stationary and Dynamic Environments (Doctoral dissertation, University of Leicester).
Lutao, W. A. N. G. (2013). Genetic network programming based rule accumulation for agent control.
Shu-Qu, Q., & Hui-Hong, W. (2013, August). Dynamic Stochastic Ranking Selection Immune Optimization Algorithm for Dynamical 0/1 Knapsack Problem. In Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on (Vol. 1, pp. 100-103). IEEE.
Khalid, J. H. (2013). Modèles évolutifs flous pour l'optimisation dynamique.
Year 2012 : 4 citations
Udit Halder, Swagatam Das, and Dipnakar Maity. A Cluster-Based Differential Evolution Algorithm With External Archive for Optimization in Dynamic Environments. IEEE Transactions on Cybernetics, pp. 1-17, IEEE, 2012.
Lili Liu, Dingwei Wang, and Jiafu Tang (2012). An immune system based differential evolution algorithm using near-neighbor effect in dynamic environments. Journal of Control Theory and Applications 10.4, pp. 417-425, Springer, 2012.
T. T. Nguyen, S. Yang, and J. Branke (2012). “Evolutionary dynamic optimization: A survey of the state of the art”. Swarm and Evolutionary Computation, Elsevier, 2012.
Shengxiang Yang, Yong Jiang, and Trung Thanh Nguyen (2012). "Metaheuristics for dynamic combinatorial optimization problems." IMA Journal of Management Mathematics, 2012.
Year 2011 : 6 citations
Shi Xu-hua, Qian Feng (2011). Immune response-based Algorithm for Optimization of Dynamic Environments. Journal of Cent. South University Technology (18), pp. 1563-1571, Springer 2011.
Carlos Cruz, Juan R. González, David Pelta (2011). Optimization in dynamic environments: a survey on problems, methods and measures. Soft Computing, 15 (7), Springer-Verlag, 2011.
Fengming Ye (2011). A study on the memory schemes for genetic network programming. PhD Thesis, Waseda University, Japan, 2011.
Chen Li (2011). Dynamic Optimization Algorithms. Journal of Wuhan University: Natural Science, 2011.
Quian Shuqu, Wu Huihong (2011). Dynamic Immune Algorithm Based on Simulated Annealing Selection and its Application. Journal of Computer Engineering and Applications, 47(36), pp. 57-60, 2011.
Ju Shangyou (2011). Dynamic diffusion particle swarm algorithm and its application. Journal of Computer Engineering and Applications 47(36), pp. 61.64, 2011.
Year 2010 : 3 citations
Z. Zhang and S. Qian, Immune algorithm with dynamic environmetyns and its application to grenhouse control, Journal of Optimization and engineering, vol. 11, nº 1, pp. 125-144, 2010.
Deng Chang-shou, Angle modulation differential evolution with dual population for high dimension 0-1 knapsack problem. Computer Engineering and Applications, 2010, 46 (24), pp. 45-47, 2010.
Carlos Cruz, Juan R. González and David A. Pelta (2010). Optimization in dynamic environments: a survey on problems, methods and measures. Soft Computing - A Fusion of Foundations, Methodologies and Applications, pp. 1-22, Springer, 2010.
Year 2009 : 5 citations
I. Dempsey, M. O´Neill, A. Brabazon (2009), Foundations in Grammatical Evolution for Dynamic Environments, Studies in Computational Intelligence, Vol. 194 , Springer-Verlag, 2009.
L. Liu, D. Wang, S. Yang (2009), ?An Immune System Based Genetic Algorithm Using Permutation-based Dualism for Dynamic Traveling Salesman Problems?. In M. Giacobini et al. (Eds.): EvoWorkshops 2009, Applications of Evolutionary Computing, LNCS 5484, pp. 725"734, Springer Verlag, 2009.
Alexander V. Spirov, David M. Holloway (2009). "Design of a dynamic model of genes with multiple autonomous regulatory modules by evolution in silico?. Nature Precedings : doi:10.1038/npre.2009.3913.1, 2009.
Xin Yu, Ke Tang, Tianshi Chen, Xin Yao (2009). Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization. Journal of Memetic Computing, Vol. 1, 1, pp. 3-24, Springer 2009.
Z. Zhang, S. Qian (2009). Immune algorithm with antibody"repaired and its application for high"dimensional 0/ 1 knapsack problem. ApplicationResearch ofComputer, number 8, vol 26, pp. 2921 - 2939.
Year 2008 : 6 citations
Shengxiang Yang (2008). "Genetic Algorithms with Memory and Elitism-Based Immigrants in Dynamic Environments?. Evolutionary Computation, Vol. 16, No. 3, pp. 385-416, MIT Press, Fall 2008.
Shengxiang Yang, X. Yao (2008). "Population-based incremental learning with associative memory for dynamic environments?. IEEE Transactions on Evolutionary Computation, 12(5): 542-561, IEEE Press, October 2008.
Shengxiang Yang, Renato Tinos (2008). "Hyper-selection in dynamic environments?. Proceedings of the IEEE Congress on Evolutionary Computation, 2008. CEC 2008, pp. 3185 " 3192, IEEE Press 2008.
Xin Yu, Ke Tang, Tianshi, Xin Yao (2008). "Empirical analysis of evolutionary algorithms with immigrants schemes for dynamic optimization?. Journal Memetic Computing , Springer, 2008.
Mehdi Azimipour, Mohammad Reza Bonyadi, Mohammad Eshghi (2008). Using Immune Genetic Algorithm in ATPG. Australian Journal of Basic and Applied Sciences, 2(4), pp. 920-928, INSInet Publication, 2008.
Jingchen Liu, Xiaogang Zang, Xinbao Gong (2008). "Immune System Assisted Radial Basis Function Network for OFDM System Channel Tracking in Dynamic Environments". Eighth International Conference on Intelligent Systems Design and Applications, vol. 1, pp.582-586, IEEE, 2008.
Year 2007 : 4 citations
Shengxiang Yang and Renato Tinós (2007). A hybrid immigrants scheme for genetic algorithms in dynamic environments. International Journal of Automation and Computing, Volume 4, Number 3, pp. 243-254, Science Press, co-published with Springer-Verlag, 2007.
Shengxiang Yang (2007): "Genetic Algorithms with Elitism-Based Immigrants for Changing Optimization Problems?. In M. Giacobini et al. (Eds.): EvoWorkshops 2007, Applications of Evolutionary Computing, LNCS 4448, pp. 627-636, Springer, 2007.
Nikolaos Nanas, Anne De Roeck (2007): ?Multimodal Dynamic Optimization: From Evolutionary Algorithms to Artificial Immune Systems?. Artificial Immune Systems, LNCS 4628, pp. 13-24, Sprionger, 2007.
Adnan Acan, Ahmet Unveren (2007), "A shared-memory ACO+GA hybrid for combinatorial optimization?. IEEE Congress on Evolutionary Computation, 2007. CEC 2007, pp. 2078-2085, IEEE 2007.
Year 2006 : 8 citations
Shengxiang Yang (2006), A Comparative Study of Immune System Based Genetic Algorithms in Dynamic Environments, Proceedings of the 8th annual conference on Genetic and Evolutionary Computation (GECCO 2006), pp 1377"1384, Seattle, Washington, USA, 2006.
Shengxiang Yang (2006), Associative Memory Scheme for Genetic Algorithms in Dynamic Environments, Proceedings of the 2006 EvoWorkshops " EvoSTOC 2006, pp. 788"799, Budapest, Hungary, Applications of Evolutionary Computation, LNCS 3907, Springer, 2006.
Muhammad Rozi Malim, Ahamad Tajudin Khader, Adli Mustafa (2006), Artificial Immune Algorithms for University Timetabling. Edmund K. Burke, Hana Rudová (Eds.), Proceedings of the 6th International Conference on the Practice and Theory of Automated Timetabling (PATAT 2006), 30th August " 1st September, Brno, Czech Republic, 2006.
Lars Zwanepol Klinkmeijer (2006): A Serial Population Algorithm for Dynamic Optimization Problems. Concluding thesis for Cognitive Artificial Intelligence, Utrecht University, 2006.
Lars Zwanepol Klinkmeijer, Edwin de Jong, Marco Wiering (2006): A Serial Population Genetic Algorithm for Dynamic Optimization Problems. Proceedings of the Annual Machine Learning Conference of Belgium and The Netherlands, 2006.
Nikolaos Nanas , Anne de Roeck, Victoria Uren (2006): "Immune-Inspired Adaptive Information Filtering?. Artificial Immune Systems, LNCS 4163, pp. 418-431, Springer, 2006.
Shengxiang Yang (2006), "On the Design of Diploid Genetic Algorithms for Problem Optimization in Dynamic Environments?. 2006 IEEE Congress on Evolutionary Computation, pp. 1362-1369, Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada, 2006.
Muhammad Rozi Malim, Ahamad Tajudin Khader, Adli Mustafa (2006), "An Immune-Based Approach to University Course Timetabling: Negative Selection Algorithm?. Proceedings of the 2th IMT-GT Regional Conference on Mathematics, Statistics and Applications, University Sains Malaysia, Penang, June 13-15, 2006.
Year 2005 : 1 citations
Adnan Acan, Yüce Tekol (2005). Performance-based Computation of Chromosome Lifetimes in Genetic Algorithms. In Knowlodge Incorporation in Evolutionary Computation, Y. Jin (Editor), pp. 195-213, Studies in Fuzziness and Soft Computing, Springer, 2005.
Year 2004 : 1 citations
Alexander V. Spirov (2004), Retroviral GA and Fitness Functions with Subbasin-Portal Architecture, Proceedings of the 6th Annual Conference on Genetic and Evolutionary Computation (GECCO 2004), Seattle, Washington USA, 25-30 June 2004.
