Publications

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For an up-to-date publication list, please see my Google Scholar page. BOOKS   Grosan, C., Abraham, A., Intelligent Systems: a Modern Approach, Springer Verlag Germany, 2011. Oltean, M., Grosan, C., Delphi 7 in 200 examples, Blue Publishing House, Cluj-Napoca, pp. 450, 2004. %I.S.B.N. 973-650-119-1 Oltean, M., Grosan, C. Programming with C++ Builder, Blue Publishing House, Cluj-Napoca, pp. 400, 2001. EDITED BOOKS Grosan, C., Abraham, A., Ishibuchi, H., (Eds.), Hybrid Evolutionary Algorithms , Studies in Computational Intelligence, Springer Verlag, Germany, 2008. Abraham, A., Grosan, C., Pedrycz, W., (Eds), Engineering Evolutionary Intelligent Systems, Studies in Computational Intelligence, Springer Verlag, Germany, 2007. Abraham, A., Grosan, C., Ramos, V., (Eds.), Swarm Intelligence and Data Mining, Studies in Computational Intelligence, Springer Verlag, Germany, 2006. Abraham, A., Grosan, C., Ramos, V., (Eds.), Stigmergic Optimization, Studies in Computational Intelligence, Springer Verlag, Germany, 2006. JOURNALS   Rausanu, S., Grosan, C. A hierarchical network model for epidemic spreading. Analysis of A/H1N1 virus spreading in Romania, Applied Mathematics and Computation, 2014 (accepted) Chan, P.K., Torres, R., Yandim, C., Law, PP., Khadayate, S., Mauri, M., Grosan, C., Chapman-Rothe, N., Giunti, P., Pook, M., Festenstein, R., Heterochromatinization induced by GAA-repeat hyperexpansion in Friedreich's ataxia can be reduced upon HDAC inhibition by vitamin B3, Human Molecular Genetics, 2013, doi:10.1093/hmg/ddt115 Grosan, C., Hassainen, A.E., Hybrid self organizing neurons and evolutionary algorithms for global optimization, Journal of Theoretical and Computational Nanoscience, 9(2), pp. 304-309, 2012. Thangaraj, R., Thangaraj, C.,Pant, M., Abraham, A., Grosan, C., Optimal Gain-Tuning of PI Speed Controller in Induction Motor Drives Using Particle Swarm Optimization, Logic Journal of the IGPL, 19(2), pp. 343-356, 2011 Grosan, C., Abraham, A., Hassainen, A.E., A Line Search Approach for High Dimensional Function Optimization, Telecommunication Systems: Modelling, Analysis, Design and Management, 46(3), pp. 217-243, 2011. Grosan, C., Abraham, A., Approximating Pareto Frontier Using a Hybrid Line Search Approach, Information Sciences, 180(14), pp. 2674-2695, 2010. Grosan, C., Abraham, A., On a Class of Global Optimization Test Functions, Neural Network World, 19(2), pp. 247-252, 2009. Grosan, C., Abraham, A., Hassainen, A.E., Designing Resilient Networks Using Multicriteria Metaheuristics, Telecommunication Systems: Modelling, Analysis, Design and Management, 40(1-2), pp. 75-88, 2009. Hassanien, A.E., Abraham, A., Grosan, C., Spiking Neural Network and Wavelets for Hiding Iris Data in Digital Images, Soft Computing, 13(4), pp. 401-416, 2009. Chen, Z., Wang, H., Abraham, A., Grosan, C., Yang,B., Chen Y., Wang, L., Improving Neural Network Classification Using Further Division of Recognition Space, International Journal of Innovative Computing, Information and Control, 4(11), 2009. Grosan, C., Abraham, A., A Novel Global Optimization Technique for High Dimensional Functions,International Journal of Intelligent Systems, 24(4), pp. 421 - 440, 2009. Chen, Z., Yang, B., Chen, Y., Abraham, A., Grosan, C., Peng, L., Hybrid Traffic Classifier for Peer-to-Peer Systems Based on Network Processors, Applied Soft Computing, 9(2), pp. 685-694, 2009. Grosan, C., Abraham, A., Tigan, S. Multicriteria Programming Applied in Medical Field, Applied Soft Computing, 8(4), pp. 1407-1417, 2008. Grosan, C., Abraham, A., Multiple Solutions for a System of Nonlinear Equations, International Journal of Innovative Computing, Information and Control, 4(9), pp. 2161-2170, 2008. Grosan, C., Abraham, A., Evolutionary multiobjective optimization for large scale systems of equations, IEEE Transaction on Systems, Man and Cybernetics Part A, 38(3), pp. 698-714, 2008. Grosan, C., Oltean, M. Traceless Genetic Programming for Multiobjective Optimization, Journal of Experimental and Theoretical Artificial Intelligence , 19, pp. 227-248, 2007. Grosan, C., Abraham, A. Hybrid learning schemes for designing drugs, Neural Computing and Applications, 13(3), pp. 307-316, 2007. Bhattacharya, A., Abraham, A., Vasant, P. and Grosan, C., Meta-Learning Evolutionary Artificial Neural Network for Selecting Flexible Manufacturing Systems Under Disparate Level-of-Satisfaction of Decision Maker, International Journal of Innovative Computing, Information and Control, 3(1), pp. 131-140, 2007. Grosan, C, Abraham, A. Evolving Computer Programs for Knowledge Discovery, International Journal of System Management, ISSN 0972-6896, 4(2), pp. 7-24, 2006. Abraham, A., Grosan, C., Automatic Programming Methodologies for Electronic Hardware Fault Monitoring, Journal of Universal Computer Science, 12(4), pp. 408-431, 2006. Grosan, C., Abraham, A., Nicoara, M. Search Optimization Using Hybrid Particle Sub-Swarms and Evolutionary Algorithms, International Journal of Simulation Systems, Science and Technology, 6(10-11), pp. 60-79, 2005. Grosan C., Abraham A., Campian R., Tigan S., Evolution Strategies for Ranking Several Trigeminal Neuralgia Treatments, Applied Medical Informatics, 17(3-4), pp. 72-78, 2005. Grosan, C., Oltean, M. Adaptive Representation for Single Objective Optimization, Soft Computing, 9, pp. 594-605, 2005. Oltean, M., Grosan, C. A Comparison of Several Linear Genetic Programming Techniques, Complex Systems, 14(4), pp. 285-313, 2003. CONFERENCES Rausanu, S., Grosan, C., Wu, Z., Parvu, O., Gilbert, D., Evolving Biochemical Systems, IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, 2013 Comsa, I., Grosan, C., Gilbert, D., MultiMot - an online motif finger in multirelational graphs, Mathematical and Statistical Aspects of Molecular Biology (MASAMB), 2013 Vescan, A., Grosan, C., Yang, S., A hybrid evolutionary multiobjective approach for the dynamic component selection problem, Hybrid Intelligent Systems Conference, pp. 714-721, 2011.  Pant, M., Thangaraj, R., Abraham, A., Grosan, C., Differential Evolution with Laplace Mutation Operator, 2009 IEEE Congress on Evolutionary Computation, Trondheim, Norway, IEEE Press, ISBN 978-1-4244-2958-5, pp. 1240-1246, 2009. Grosan, C., Abraham, A., Modified Line Search for High Dimensional Functions Optimization, SIAM Conference on Optimization, Boston, MA, 2008. Grosan, C., Abraham, A., Hybrid line search for multiobjective optimization, 2007 International Conference on High Performance Computing and Communications (HPCC-07), Springer LNCS 4782, Houston, TX, pp. 62-73, 2007. Grosan, C., Abraham, A., Tigan, S., Chang, T.G., Kim, D.H., Evolving Neural Networks for Pharmaceutical Research, International Conference on Hybrid Information Technology (ICHIT'06), IEEE Press, IEEE Press, Korea, pp. 13-19, 2006. Grosan, C., Abraham, A. Solving Nonlinear Equation Systems Using Evolutionary Algorithms, Genetic and Evolutionary Computation Conference (GECCO 2006), Seattle, USA. Grosan, C., Abraham, A., Tigan, S., Chang, T.G. How to Solve a Multicriterion Problem for which Pareto Dominance Relationship Cannot be Applied? A Case Study from Medicine. 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES'06), Springer Verlag, B. Gabrys, R.J. Howlett, and L.C. Jain (Eds.): Part III, Lecture Notes in Artificial Intelligence 4253, pp. 1128-1135, 2006. Grosan, C., Abraham, A., Chis, M., Chang, T.G. Evolutionary Elementary Cooperative Strategy for Global Optimization, 10th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES'06), Springer Verlag, B. Gabrys, R.J. Howlett, and L.C. Jain (Eds.): Part III, Lecture Notes on Artificial Intelligence 4253, pp. 677-685, 2006. Grosan, C., Abraham, A. A Simple Strategy for Nonlinear Optimization. Third International Conference on Neural, Parallel and Scientific Computations, Dynamic Publishers Inc. USA, pp. 44-48, 2006. Grosan, C., Multiobjective Adaptive Representation Evolutionary Algorithm (MAREA) - a new evolutionary algorithm for multiobjective optimization. In Proceedings of 9th World on-line Conference on Soft Computing in Industrial Application, Applied Soft Computing Technologies: The Challenge of Complexity, Advances in Soft Computing, Springer Verlag, Germany, pp. 113-121, 2006. Grosan, C., Abraham, A. Solving no free lunch issues from a practical perspective. Ninth International Conference on Cognitive and Neural Systems (ICCNS), Boston, 2005. Grosan, C., Improving the performances of evolutionary algorithms for the multiobjective 0/1 knapsack problem using \textit{$\varepsilon $}-dominance. Congress on Evolutionary Computation (CEC), G. Greenwood et al (Eds), IEEE Press, pp. 1958-1963, Portland, USA, 2004. Grosan, C., An Evolutionary Approach for Multiobjective Optimization using Adaptive Representation of Solutions. Genetic and Evolutionary Computation Conference (GECCO), M. Keijeer et al (Eds), Springer-Verlag Germany, Seattle, USA, 2004. Grosan, C., M. Oltean. A comparison of several algorithms and representations for single objective optimization. Genetic and Evolutionary Computation Conference (GECCO), K. Deb et al. (Eds), Springer-Verlag Germany, pp. 788-790, Seattle, USA, 2004. Grosan, C., Evolving mathematical expressions using Genetic Algorithms. Genetic and Evolutionary Computation Conference (GECCO), T. Riopka et al. (Eds), Springer-Verlag Germany, Seattle, USA, 2004. Grosan, C., A new evolutionary technique for detecting Pareto continuous regions. In Proceedings of Genetic and Evolutionary Computation Conference (GECCO) 2003, Workshop Program, Edited by A. Barry, pp. 304-308 Chicago, IL, USA, 2003.