Journal Articles
2005(3 publications)
[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. and Costa, E. , "Organizational strategic adaptation in the presence of inertia", Advances in Complex Systems,  vol. 8,  pp. 497-520, 2005
[citation][year=2009]L. Chasalow (2009). A MODEL OF ORGANIZATIONAL COMPETENCIES FOR BUSINESS INTELLIGENCE SUCCESS. PhD Thesis, Virginia Commonwealth University, 2009.
[citation][year=2009]E Make (2009). The Emergence of a Market: What Efforts Can Entrepreneurs Make?. Natural Computing in Computational Finance 2, 2009
[citation][year=2008]G Easton, RJ Brooks, K Georgieva (2008). Understanding the Dynamics of Industrial Networks Using Kauffman Boolean Networks. Advances  in Complex Systems,  Vol. 11, No. 1, pp. 139"164, World Scientific Press, 2008.

[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. and Costa, E. , "Investigating Strategic Inertia Using OrgSwarm", Informatica,  pp. 125-141, 2005
[citation][year=2010]Alec Banks, Jonathan Vincent (2010). Hybridisation of particle swarm optimisation with area concentrated search.International Journal of Knowledge-Based and Intelligent Engineering Systems,  Volume 14, Number 2, pp. 95-114, IOS Press, 2010.
[citation][year=2010]Alan Godoy Souza Mello (2010). Aplicação de Redes Complexas para a Definição de Vizinhança na Otimização por Enxame de Partículas. Tese de Mestrado, Universidade Estadual de Campinas, 2010.
[citation][year=2008]Alec Banks,  Jonathan Vincent and Chukwudi Anyakoha (2008). A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications.
Natural Computing, Computer Science, Volume 7, Number 1, pp. 109-124, Springer 2008.
[citation][year=2007]Alec Banks , Jonathan Vincent and Chukwudi Anyakoha, A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications. Publisher Springer Netherlands, 2007.
[citation][year=2007]Xiaohui Cui and Thomas E. Potok (2007): A Particle Swarm Social Model for Multi-Agent Based Insurgency
Warfare Simulation. Fifth International Conference on Software Engineering Research, Management and Applications. pp. 177-183, IEEE Press, 2007.

[publication]Brabazon, A. and Silva, A. and Sousa, T. , "InventSim: An Agent-Based Model of Product Invention", Inteligencia Artificial, Revista Iberoamericana de I.A.,  vol. 9,  pp. 77-84, 2005

2004(1 publication)
[publication]Sousa, T. and Silva, A.P.N.F.d. and Silva, A. and Costa, E. , "Particle Swarm Based Data Mining Algorithms for Classification Tasks", Parallel Computing,  pp. 767-783, 2004
[citation][year=2010]Hongbo Liu, Ajith Abraham  and Benxian Yue (2010). Nature Inspired Multi-Swarm Heuristics for Multi-Knowledge Extraction. Advances in Machine Learning II, Studies in Computational Intelligence, Volume 263, pp. 445-466, Springer 2010.
[citation][year=2010]Suraj Pandey, Linlin Wu, Siddeswara Guru, and Rajkumar Buyya (2010). A Particle Swarm Optimization (PSO)-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments, Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications (AINA 2010), Perth, Australia, April 20-23, 2010
[citation][year=2010]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho (2010). Applying Area Extension PSO in Robotic Swarm.  Journal of Intelligent & Robotic Systems, Volume 58, Numbers 3-4, pp. 253-285, Springer 2010.
[citation][year=2009]A. B. S. Serapião  and J. R. P. Mendes (2009). Classification of Petroleum Well Drilling Operations with a Hybrid Particle Swarm/Ant Colony Algorithm. Next-Generation Applied Intelligence, Lecture Notes in Computer Science, 5579, pp. 301-310, Springer 2009. 
[citation][year=2009]A. Cervantes, I. M. Galván, P. Isasi (2009).AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification. IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 39, n. 5, Oct. 2009, p. 1082 - 1091, IEEE Press, 2009.
[citation][year=2009]A. Serapião (2009). Fundamentos de otimização por inteligência de enxames: uma visão geral, Sba: Controle & Automação Sociedade Brasileira de Automatica, vol.20 n.3, Scielo, 2009.
[citation][year=2009]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho (2009). Applying Area Extension PSO in Robotic Swarm. Journal of Intelligent and Robotic Systems , pp. 1-33, Springer Netherlands, 2009.
[citation][year=2009]Ajith Abraham and Hongbo Liu (2009). Turbulent Particle Swarm Optimization Using Fuzzy Parameter Tuning. Foundations of Computational Intelligence, Studies in Computational Intelligence, Volume 3, pp. 291-312, Springer 2009.
[citation][year=2009]Alejandro Cervantes, Inés Galván  and Pedro Isasi (2009). Michigan Particle Swarm Optimization for Prototype Reduction in Classification Problems. New Generation Computing, Vol 27, Num 3, pp. 239-257, Springer 2009.
[citation][year=2009]Augusto de Almeida Prado G. Torácio (2009). Multiobjective Particle Swarm Optimization in Classification-Rule Learning. Swarm Intelligence for Multi-objective Problems in Data Mining, Studies in Computational Intelligence, Volume 242, pp. 37-64, Springer, 2009.
[citation][year=2009]Bashir Mohammed Ghandi (2009). Classification of Facial Emotions using Guided Particle Swarm Optimization I. International Journal on Computer and Communication Technology , Vol. 1, No. 1, 2009.
[citation][year=2009]Bilal Alatas and Erhan Akina(2009). Multi-objective rule mining using a chaotic particle swarm optimization algorithm. Knowledge-Based Systems Volume 22, Issue 6, August 2009, Pages 455-460, Elsevier 2009.
[citation][year=2009]Chih-Chuan Chen, Chao-Chin Hsu, Yi-Chung Cheng, Sheng-Tun Li (2009). Knowledge Discovery on In Vitro Fertilization Clinical Data Using Particle Swarm Optimization. 2009 Ninth IEEE International Conference on Bioinformatics and Bioengineering, pp.278-283, 2009.
[citation][year=2009]Chih-Chuan Chen, Chao-Chin Hsu, Yi-Chung Cheng, Sheng-Tun Li and Ying-Fang Chan (2009).Comprehensible Knowledge Discovery Using Particle Swarm Optimization with Monotonicity Constraints. Opportunities and Challenges for Next-Generation Applied Intelligence, Studies in Computational Intelligence, Volume 214/2009, pp. 323-328, Springer 2009.
[citation][year=2009]H Liu, A Abraham (2009). Chaos and Swarm, Intelligent Computing Based on Chaos, Springer, 2009.
[citation][year=2009]Hongbo Liu and Ajith Abraham6 (2009). Chaos and Swarm Intelligence. Intelligent Computing Based on Chaos, Studies in Computational Intelligence, Volume 184/2009, pp. 197-212, Springer 2009.
[citation][year=2009]Hongbo Liu, Ajith Abraham  and Yanheng Li (2009). Nature Inspired Population-Based Heuristics for Rough Set Reduction. Rough Set Theory: A True Landmark in Data Analysis, Studies in Computational Intelligence, Volume 174, 261-278, Springer 2009.
[citation][year=2009]Mingyan Zhao, Hongbo Liu, Ajith Abraham, Emilio Corchado (2009). A Swarm-Based Rough Set Approach for Group Decision Support Systems. 2009 Ninth International Conference on Hybrid Intelligent Systems, vol. 3, pp.365-369, 2009.
[citation][year=2009]S. Dehuri, S.Ghosh and C. A. Coello Coello (2009). An Introduction to Swarm Intelligence for Multi-objective Problems. Swarm Intelligence for Multi-objective Problems in Data Mining, Studies in Computational Intelligence, Volume 242, pp. 1-17, Springer 2009.
[citation][year=2009]Seyed-Hamid Zahiri, Seyed-Alireza Seyedin (2009).  Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers. Swarm Intelligence for Multi-objective Problems in Data Mining,  Book Series Studies in Computational Intelligence, Volume 242, pp. 65-92, Springer 2009.
[citation][year=2009]Shao-Rong Huang (2009). Survey of particle swarm optimization algorithm. Computer Engineering and Design. Vol. 30, no. 8, pp. 1977-1980. 2009.
[citation][year=2009]Shelly Bansal, Daya Gupta, V. K. Panchal and Shashi Kumar (2009). Swarm Intelligence Inspired Classifiers in Comparison with Fuzzy and Rough Classifiers: A Remote Sensing Approach. Contemporary Computing, Communications in Computer and Information Science, Volume 40, pp. 284-294, Springer 2009.
[citation][year=2009]Suraj Pandey, Linlin Wu, Siddeswara Guru, Rajkumar Buyya (2009). A Particle Swarm Optimization (PSO)-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments. NET-based Cloud Computing, Technical Report, CLOUDS-TR-2009.
[citation][year=2009]TH Sun (2009). Applying particle swarm optimization algorithm to roundness measurement, Expert Systems With Applications,  Elsevier, 2009.
[citation][year=2009]WC Yeh (2009). A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems, Expert Systems with Applications, Elsevier, 2009.
[citation][year=2009]WC Yeh, WW Chang, YY Chung (2009).  A new hybrid approach for mining breast cancer pattern using discrete particle particle swarm optimization and statistical methods. Expert Systems with Applications, Elsevier, 2009.
[citation][year=2009]Leandro dos Santos Coelho (2009), Gaussian quantum-behaved particle swarm optimization approaches for constrained engineering design problems, Expert Systems with Applications, Volume 37, Issue 2, March 2010, Pages 1676-1683, ISSN 0957-4174, DOI: 10.1016/j.eswa.2009.06.044.
[citation][year=2009]C. Dalian (2009). Nature Inspired Population-Based Heuristics for Rough Set Reduction. Rough Set Theory: A True Landmark in Data Analysis, 2009.
[citation][year=2009]Haijun Su, Yupu Yang, Liang Zhao, Classification rule discovery with DE/QDE algorithm, Expert Systems with Applications, Volume 37, Issue 2, March 2010, Pages 1216-1222, Elsevier, 2009.
[citation][year=2009]C Nalini, PB Balasubramanie (2009). Performance Analysis of Cooperative PSO Algorithm with ACO and Tabu Search, International Journal of Computational Intelligence, Volume 5, Number 2 (2009).
[citation][year=2008]Y Zheng, Y Meng (2008), OBJECT DETECTION AND TRACKING USING BAYES-CONSTRAINED PARTICLE SWARM OPTIMIZATION, Computer Vision Research Progress, 2008 - Nova Science Publishers
[citation][year=2008]N. O. S. Ba-Karait, S. Mariyam Shamsuddin (2008).  Handwritten Digits Recognition Using Particle Swarm Optimization . Second Asia International Conference on Modelling & Simulation,   pp. 615-619, IEEE.
[citation][year=2008]A. Toracio (2008). Aprendizado de regras de classificação com otimização por nuvem de particulas multiobjetivo . Master Thesis, 2008.
[citation][year=2008]Abraham, A.   Hongbo Liu   (2008). Swarm intelligence based rough set reduction scheme for support vector machines. Proceedings of the  IEEE International Conference on Intelligence and Security Informatics, pp. 200-202, IEEE Press, 2008.
[citation][year=2008]Nicholas Holden and Alex A. Freitas (2008). A Hybrid PSO/ACO Algorithm for Discovering Classification Rules in Data Mining. Journal of Artificial Evolution and Applications, Volume 2008, Hindawi Publishing , 2008.
[citation][year=2008]Neveen Ibrahim Ghali, Nahed Eldesouky, Mervat A. Nabyand Lamiaa Bakrawy (2008). IMPROVEMENT OF DATA CLUSTERING USING PARTICLE SWARM OPTIMIZATION, Far East Journal of Electronics and Communications, Volume 2, Issue 2, Pages 121 - 132, 2008.
[citation][year=2008]Yanchao Yin, Linfu Sun, Min Han (2008). A High-Accuracy Parameter Estimation PSO Algorithm. International Conference on Embedded Software and Systems Symposia, pp. 7-12, IEEE Press, 2008.
[citation][year=2008]Wei-Chang Yeh, and Sin-Long Liu (2008). A discrete particle swarm optimization for evaluating the multiple multi-level redundancy allocation problem. 5th International Conference on Information Technology and Applications, ICITA 2008, pp. 408-413, 2008.
[citation][year=2007]De Falco, A Della Cioppa, E Tarantino - Facing classification problems with Particle Swarm Optimization.  Applied Soft Computing, 2007 ¨C Elsevier.
[citation][year=2007]H Liu, A Abraham, M Clerc - Chaotic dynamic characteristics in swarm intelligence.  Applied Soft Computing, 2007 ¨C Elsevier.
[citation][year=2007]Nicholas Paul Holden, Alex A. Freitas. A hybrid PSO/ACO algorithm for classification. Proceedings of the 2007 GECCO conference companion on Genetic and evolutionary computation, London, United Kingdom. WORKSHOP SESSION: Particle swarms the second decade, pp. 2745-2750, ISBN:978-1-59593-698-1, ACM Press 2007.
[citation][year=2007]H Liu, A Abraham, W Zhang,  A fuzzy adaptive turbulent particle swarm optimization, International Journal of Innovative Computing and Applications, Volume 1, Number 1, pp. 39 ¨C 47, 2007.
[citation][year=2007]Benxian Yue, Weihong Yao , Ajith Abraham, Hongbo Liu1 (2007):  A New Rough Set Reduct Algorithm Based on Particle Swarm Optimization. Bio-inspired Modeling of Cognitive Tasks, LNCS 4527, pp. 397-406, Springer, 2007.
[citation][year=2007]Cui Zhi-hua, Zeng Jian-chao, Sun Guo-ji (2007): Adaptive Integral-controller Particle Swarm Optimization Using Accelerator Feedback. Journal of Chinese Computer Systems, vol.28, No.5, pp. 855-860, 2007.
[citation][year=2007]Eduardo P. Costa , Ana C. Lorena , André C. P. L. F. Carvalho , Alex A. Freitas  and Nicholas Holden (2007): Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. Advances in Bioinformatics and Computational Biology, LNCS 4643, pp.126-137, Springer, 2007.
[citation][year=2007]Inthachot, Montri   Supratid, Siriporn   (2007): A Multi-Subpopulation Particle Swarm Optimization: A Hybrid Intelligent Computing for Function Optimization.
In Natural Computation, 2007, vol 5, pp. 679-684, IEEE Press.
[citation][year=2007]Lei, Wang; Qi, Kang; Hui, Xiao; Qidi, Wu, Traffic Intelligent Optimization and Local Traffic-Flow Control Inside Shanghai-EXPO-Area, Networking, Sensing and Control, 2007 IEEE International Conference on. Volume , Issue , 15-17 April 2007 Page(s):856 " 861
[citation][year=2007]Cervantes, A.; Galvan, I.; Isasi, P., Building Nearest Prototype Classifiers Using a Michigan Approach PSO, Swarm Intelligence Symposium, 2007. SIS 2007. IEEE. Volume , Issue , 1-5 April 2007 Page(s):135 - 140
[citation][year=2007]A de Almeida, PG Toracio, A Trinicad Ramirez Pozo (2007), Multiple objective particle swarm for classification-rule discovery, Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 2007.
[citation][year=2007]Liang-Chi Wang (2007). Classification Rule Discovery with Particle Swarm Optimization. Master Thesis, 2007.
[citation][year=2006]N Holden, AA Freitas, Hierarchical Classification of G-Protein-Coupled Receptors with a PSO/ACO Algorithm, Proc. IEEE Swarm Intelligence Symposium (SIS-2006), pp. 77-84.
[citation][year=2006]Crina Grosan, Ajith Abraham and Monica Chis: Swarm Intelligence in Data Mining, Studies in Computational Intelligence (SCI) 34, 1"20 (2006).
[citation][year=2006]De Falco, I. Cioppa, A. D. Tarantino, E., Evaluation of Particle Swarm Optimization Effectiveness in Classification, Lecture Notes in Computer Science, 2006, Vol. 3849, pages 164-171., Springer-Verlag.
[citation][year=2006]Cui, Z. Cai, X. Zeng, J. Sun, G., Predicted-Velocity Particle Swarm Optimization Using Game-Theoretic Approach, Lecture Notes in Computer Science, 2006, Vol. 4115, pages 145-154, Springer-Verlag.
[citation][year=2006]Qi Kang, Lei Wang, Qi-di Wu, Research on Fuzzy Adaptive Optimization Strategy of Particle Swarm Algorithm, International Journal of Information Technology, Vol.12, No.3, 2006.
[citation][year=2006]Wang Lei　 Kang Qi　 Wu Qi-Di, Multi-optimum Fuzzy Programming Based Particle Swarm Optimization, Control And Decision, 2006 Vol.21 No.6 P.680-684
[citation][year=2006]Liu Hong-Bo　 Wang Xiu-Kun　 Tan Guo-Zhen,　Convergence Analysis of Particle Swarm Optimization and Its Improved Algorithm Based on Chaos, Control And Decision, 2006 Vol.21 No.6 P.636-640,645
[citation][year=2006]A. Abraham, He Guo, and Hongbo Liu, "Swarm Intelligence: Foundations, Perspectives and Applications", in Swarm Intelligence in Data Mining, A. Abraham, C. Grosan, V. Ramos (Eds.), Studies in Computational Intelligence (series), approx. 300 pages (hardcover), Springer, Germany, 2006.
[citation][year=2005]Nicholas Holden, Alex A. Freitas, A Hybrid Particle Swarm/Ant Colony Algorithm for the Classification of Hierarchical Biological Data, 2005 IEEE Swarm Intelligence Symposium, 8-10 June, Pasadena, California, USA.
[citation][year=2005]Wang Lei,   Kang Qi,   Xiao Hui,   Wu Qidi, "A Modified Adaptive Particle Swarm Optimization Algorithm?, ICIT 2005. IEEE International Conference on  Industrial Technology, 14-17 Dec. 2005.
[citation][year=2005]Cervantes, A.   Galvan, I.   Isasi, P., "A Comparison between the Pittsburgh and Michigan Approaches for the Binary PSO Algorithm?, the 2005 IEEE Congress on Evolutionary Computation, 02-05 Sept. 2005.
[citation][year=2005]Andries P. Engelbrecht, Fundamentals of Computational Swarm Intelligence, ISBN: 0-470-09191-6, November 2005, John Wiley & Sons, Ltd.
[citation][year=2005]KANG Qi, WANG Lei, WU Qi-di, "Fuzzy Adaptive Programming Algorithm Based on Particle Swarm Multi-optimum Information?, INFORMATION AND CONTROL, 2005 Vol.34 No.4 P.439-443,450

Conference Articles
2005(1 publication)
[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. , "Agent Based Modelling of Product Invention", in Genetic and Evolutionary Computation Conference (GECCO-2005), 2005
[citation][year=2009]Joseph John Engler (2009). Innovation As A Complex Adaptive System. PhD Thesis, University of Iowa, 2009.

2004(4 publications)
[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. , "Investigating Organizational Strategic Inertia Using a Particle Swarm Model",  vol. 1, 2004
[citation][year=2005]Inertia som hinder eller mojlighet for organisationers larande?, A. Pernas, Lunds Universitet, 2005.

[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. , "A Particle Swarm Model Of Strategic Adaptation", in Business Research Yearbook (Vol. XI), 2004

[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. and Costa, E. , "A Particle Swarm Model of Organizational Adaptation", in Genetic and Evolutionary Computation Conference (GECCO-2004),  vol. 3102, 2004
[citation][year=2007]Xiaohui Cui and Thomas E. Potok (2007): A Particle Swarm Social Model for Multi-Agent Based Insurgency
Warfare Simulation. Fifth International Conference on Software Engineering Research, Management and Applications. pp. 177-183, IEEE Press, 2007.
[citation][year=2005]Far from equilibrium computation and particle swarm optimization, L. diosan, D. Dumitrescu and D. David, Acta Universitatis Apulensis, nº10/2005.

[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. , "OrgSwarm - A Particle Swarm Model of Organizational Adaptation", in 11th International Conference on Neural Information Processing (ICONIP2004),  vol. 3316, 2004

2003(2 publications)
[publication]Sousa, T. and Silva, A.P.N.F.d. and Silva, A. , "A Particle Swarm Data Miner", in EPIA\'03, 2003
[citation][year=2009]Xingjuan Cai and Ying Tan (2009). A study on the effect of vmax in particle swarm optimisation with high dimension.International Journal of Bio-Inspired Computation,  Volume 1, Number 3, pp. 210 - 216, InderScience Publishers 2009.
[citation][year=2009]Ma Junhua,  Lu Yansheng, Dou Quansheng, Jiang Ping  (2009). Power Load Forecasting Model Based on Harmonic Clustering and Classification Method. International Conference on Intelligent Computation Technology and Automation, Vol 3, pp. 79-82, IEEE Press, 2009.
[citation][year=2008]Yudel Gómez, Rafael Bello, Amilkar Puris, María M. García (2008). Two Step Swarm Intelligence to Solve the Feature Selection Problem. Journal of Universal Computer Science, vol. 14, no. 15, pp. 2582-2596, 208.
[citation][year=2008]Zhihua Cui, Jianchao Zeng, Yufeng Yin (2008). An Improved PSO with Time-Varying Accelerator Coefficients. Eighth International Conference on Intelligent Systems Design and Applications, Volume 2 pp. 638 - 643, IEEE Press, 2008.
[citation][year=2007]Cui Zhi-hua, Zeng Jian-chao, Sun Guo-ji(2007): 
Adaptive Integral-controller Particle Swarm Optimization Using Accelerator Feedback. Journal of Chinese Computer Systems, vol.28, No.5, pp. 855-860, 2007.
[citation][year=2007]Xingjuan Cai, Zhihua Cui, Jianchao Zeng  and Ying Tan (2007). Perceptive Particle Swarm Optimization: A New Learning Method from Birds Seeking
LNCS Volume 4507/2007, Book Computational and Ambient Intelligence pp.1130-1137, Springer 2007.
[citation][year=2007]Bello, Rafael   Gomez, Yudel   Nowe, Ann   Garcia, Maria M.  (2007). 
Two-Step Particle Swarm Optimization to Solve the Feature Selection Problem. Intelligent Systems Design and Applications, 2007. ISDA 2007.
pp. 691-696. IEEE Press 2007.
[citation][year=2006]Lhotska, L. Macas, M. Bursa, M., PSO and ACO in Optimization Problems, Lecture Notes in Computer Science, 2006, Vol. 4224, pages 1390-1398, Springer-Verlag.
[citation][year=2006]SHAN Shi-min, DENG Gui-shi, HE Ying-hao, Comparison Studies on Application Research on Knowledge Discovery Using Swarm Intelligence, Application Research of Computers, 1001-3695（2006).
[citation][year=2006]Hongbo Liun, Bo Li, Ye Ji and Tong Sun, Particle Swarm Optimisation from lbest to gbest, Advances in Soft Computing, Springer , Volume 2006, Applied Soft Computing Technologies: The Challenge of Complexity, pages 537-545.
[citation][year=2005]Andries P. Engelbrecht, Fundamentals of Computational Swarm Intelligence, John Wiley, 2005.
[citation][year=2005]Lhotská, L., Maca?, M., Strackeljan, J., Jantzen, J.: Applied Nature Inspired System: Preliminary Investigation. In European Symposium on Nature-inspired Smart Information Systems [CD-ROM], 2005
[citation][year=2004]Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen, Rule Discovery with Particle Swarm Optimization, Content Computing: Advanced Workshop on Content Computing, AWCC 2004, ZhenJiang, JiangSu, China, November 15-17, 2004 Lecture Notes in Computer Science, Volume 3309, Jan 2004, Pages 291 - 296

[publication]Sousa, T. and Silva, A.P.N.F.d. and Silva, A. , "Swarm Optimisation as a New Tool for Data Mining", in IPDPS, 2003
[citation][year=2010]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho (2010). Applying Area Extension PSO in Robotic Swarm.  Journal of Intelligent & Robotic Systems, Volume 58, Numbers 3-4, pp. 253-285, Springer 2010.
[citation][year=2009]Xingjuan Cai and Ying Tan (2009). A study on the effect of vmax in particle swarm optimisation with high dimension.International Journal of Bio-Inspired Computation,  Volume 1, Number 3, pp. 210 - 216, InderScience Publishers 2009.
[citation][year=2009]Seyed-Hamid Zahiri, Seyed-Alireza Seyedin (2009). Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers. Swarm Intelligence for Multi-objective Problems in Data Mining, Book Series Studies in Computational Intelligence, Volume 242, pp. 65-92, Springer 2009.
[citation][year=2009]RJ Kuo, CM Chao, YT Chiu (2009). Application of particle swarm optimization to association rule mining, Applied Soft Computing Journal, Elsevier, 2009.
[citation][year=2009]Adham Atyabi, Somnuk Phon-Amnuaisuk, Chin Kuan Ho (2009). Applying Area Extension PSO in Robotic Swarm. Journal of Intelligent and Robotic Systems , pp. 1-33, Springer Netherlands, 2009.
[citation][year=2008]P. Jaganathana, K. Thangavel (2008). A Novel Adaptive Life Cycle Model: Combining Particle Swarm Optimization and Memetic Algorithms.  Internatonal Journal of Soft Computing, 3 (4), pp. 297-301, Medweel Journal, 2008.
[citation][year=2008]Zhihua Cui, Jianchao Zeng, Yufeng Yin (2008). An Improved PSO with Time-Varying Accelerator Coefficients. Eighth International Conference on Intelligent Systems Design and Applications, Volume 2 pp. 638 - 643, IEEE Press, 2008.
[citation][year=2008]Ching-Shih Tsou, Shih-Chia Chang, Chin-Hsiung Hsu (2008). Particle swarm optimisation with a constraint-handling technique for seller/buyer inventory games. International Journal of Business and Systems Research, Vol 2, nº 2, pp. 214-225, InderScience Publishers, 2008.
[citation][year=2007]Cui Zhi-hua, Zeng Jian-chao, Sun Guo-ji(2007): Adaptive Integral-controller Particle Swarm Optimization Using Accelerator Feedback. Journal of Chinese Computer Systems, vol.28, No.5, pp. 855-860, 2007.
[citation][year=2005]Andries P. Engelbrecht, Fundamentals of Computational Swarm Intelligence, John Wiley, 2005.
[citation][year=2004]Yu Liu, Zheng Qin, Zhewen Shi, Junying Chen, Rule Discovery with Particle Swarm Optimization, Content Computing: Advanced Workshop on Content Computing, AWCC 2004, ZhenJiang, JiangSu, China, November 15-17, 2004 Lecture Notes in Computer Science, Volume 3309, Jan 2004, Pages 291 - 296

Book Chapters
2006(3 publications)
[publication]Brabazon, A. and Silva, A. and Costa, E. and Sousa, T. and O'Neill, M. , "Simulating the strategic adaptation of organizations using OrgSwarm", in Handbook of bioinspired algorithms and applications,  pp. 305-319, 2006
[citation][year=2010]Soumya Banerjee, Hamid R. Tizhoosh (2010).Visualization of Hidden Structures in Corporate Failure Prediction Using Opposite Pheromone per Node Model. WCCI 2010 IEEE World Congress on Computational Intelligence - IEEE CEC, pp. 4624-4628, July, 18-23, 2010 - CCIB, Barcelona, Spain, IEEE, 2010.

[publication]Sousa, T. and Silva, A. and Silva, A.P.N.F.d. and Costa, E. , "Bioinspired data mining", in Handbook of bioinspired algorithms and applications,  pp. 469-489, 2006

[publication]Brabazon, A. and Silva, A. and Sousa, T. and O'Neill, M. and Matthews, R. and Costa, E. , "Simulating Product Invention using InventSim", in Handbook of Research on Nature Inspired Computing for Economy and Management,  pp. 379-394, 2006