Conference Articles
2014(2 publications)
[publication]Leonor Melo and Pereira, F.B. and Costa, E. , "Effective Multi-caste Ant Colony System for Large Dynamic Traveling Salesperson Problems", in Artificial Evolution (EA-2013), 2014

[publication]Leonor Melo and Pereira, F.B. and Costa, E. , "Extended experiments with Ant Colony Optimization with heterogeneous ants for Large Dynamic Traveling Salesperson Problems", in ICCSA14: The 14th International Conference on Computational Science and Its Applications, 2014
[citation][year=2018]Mavrovouniotis, Michalis; Shengxiang Yang, : Ant colony optimization for dynamic combinatorial optimization problems (Control, Robotics & Sensors, 2018), 'Swarm Intelligence - Volume 1: Principles, current algorithms and methods', Chap. 5, pp. 121-142, DOI: 10.1049/PBCE119F_ch5.
[citation][year=2018]M. Mavrovouniotis, S. Yang, Ant Colony Optimization for Dynamic Combinatorial Optimization Problems, Swarm Intelligence: From Concepts to Applications, chapter 5, Publisher The IET, 2018
[citation][year=2017]A. Fayeez, E. Keedwell, M. Collett. H-ACO: A Heterogeneous Ant Colony Optimisation approach with Application to the Travelling Salesman Problem, Proceeding of EA 2017.
[citation][year=2017]M. Mavrovouniotis, C. Li, S. Yang, A survey of swarm intelligence for dynamic optimization: Algorithms and applications, Swarm and Evolutionary Computation 33:1-17, April 2017

2013(1 publication)
[publication]Leonor Melo and Pereira, F.B. and Costa, E. , "Multi-caste ant colony algorithm for the dynamic traveling salesperson problem", in M. Tomassini et al. (Eds.): ICANNGA 2013, LNCS 7824, pp. 226--235. Springer, Heidelberg (2013), April 2013, 2013
[citation][year=2019]Oliveira S., Wanner E.F., de Souza S.R., Bezerra L.C.T., Stützle T. (2019) The Hypervolume Indicator as a Performance Measure in Dynamic Optimization. In: Deb K. et al. (eds) Evolutionary Multi-Criterion Optimization. EMO 2019. Lecture Notes in Computer Science, vol 11411. Springer, Cham
[citation][year=2018]Mavrovouniotis, Michalis; Shengxiang Yang, : Ant colony optimization for dynamic combinatorial optimization problems (Control, Robotics & Sensors, 2018), 'Swarm Intelligence - Volume 1: Principles, current algorithms and methods', Chap. 5, pp. 121-142, DOI: 10.1049/PBCE119F_ch5
[citation][year=2018]M. Mavrovouniotis, M. Van, S. Yang. Pheromone modification strategy for the dynamic travelling salesman problem with weight changes. IEEE Symposium Series on Computational Intelligence (SSCI 2017) Conference Proceedings, pp. 1-8, 2017
[citation][year=2018]Souza, Matheus. (2018) Algoritmo híbrido para o problema do caixeiro viajante dinâmico: otimização por colônia de formigas+ buscas locais. Dissertação de Mestrado do Programa de Pós-graduação em Informática, área de computação aplicada, da Universidade Federal de Santa Maria. Orientado por Felipe Martins Muller.
[citation][year=2017]M. Mavrovouniotis, A. Ioannou, S. Yang. Pre-scheduled colony size variation in dynamic environments. Applications of Evolutionary Computation, LNCS, vol. 10200, pp. 128-139, Springer, 2017.
[citation][year=2017]M. Mavrovouniotis, F. M. Müller, S. Yang. An ant colony optimization with local search for dynamic traveling salesman problems. IEEE Transactions on Cybernetics, vol. 47, no. 7, pp. 1743-1756, 2017.
[citation][year=2017]M. Mavrovouniotis, C. Li, S. Yang. A survey of swarm intelligence for dynamic optimization: Algorithms and applications. Swarm and Evolutionary Computation, vol. 33, pp. 1-17, Elsevier. 2017.
[citation][year=2016]M. Mavrovouniotis, S. Yang. Empirical study on the effect of population size on MAX-MIN Ant System in dynamic environments. Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC'16), pp. 853-860, 2016.
[citation][year=2014]M. Mavrovouniotis and S. Yang. Ant Colony Optimization with Self-Adaptive Evaporation Rate in Dynamic Environments.  Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, pp. 47-54, IEEE, 2014
[citation][year=2014]M. Mavrovouniotis, S. Yang and Xin Yao. Multi-Colony Ant Algorithms for the Dynamic Travelling Salesman Problem.  Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, pp. 9-16, IEEE, 2014
[citation][year=2014]M. Mavrovouniotis and S. Yang. Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC'14), pp. 1542-1549, IEEE Press, 2014.
[citation][year=2014]M. Mavrovouniotis and S. Yang. Elitism-based immigrants for ant colony optimization in dynamic environments: adapting the replacement rate. Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC'14), pp. 1752-1759, IEEE Press, 2014.

2011(1 publication)
[publication]Leonor Melo and Pereira, F.B. and Costa, E. , "Multi-caste Ant Colony Optimization Algorithms", in 15th Portuguese Conference on Artificial Intelligence, 2011

2009(2 publications)
[publication]Leonor Melo , "Multi-colony ant colony optimization for the node placement problem", in 2009 Genetic and Evolutionary Computation Conference (GECCO 2009), 2009
[citation][year=2010]Courtney, Joshua (2010) Using Ant Colonization Optimization to Control Difficulty in Video Game AI. Undergraduate Honors thesis, East Tennessee State University.

[publication]Leonor Melo and Pereira, F.B. and Costa, E. , "MC-ANT: a Multi-colony Ant Algorithm", in Artificial Evolution (EA '09), 2009
[citation][year=2019]Bouzbita S., El Afia A., Faizi R. (2019) Hidden Markov Model Classifier for the Adaptive ACS-TSP Pheromone Parameters. In: Talbi EG., Nakib A. (eds) Bioinspired Heuristics for Optimization. Studies in Computational Intelligence, vol 774. Springer, Cham
[citation][year=2019]Abdelbar, A. M., Salama, K. M. (2019) Parameter Self-Adaptation in an Ant Colony Algorithm for Continuous Optimization. In: IEEE Access, vol. 7, pp. 18464-18479.
doi: 10.1109/ACCESS.2019.2896104
[citation][year=2018]Bouzbita, S., El Afia, A., Faizi, R. Parameter Adaptation for Ant Colony System Algorithm using Hidden Markov Model for TSP Problems, Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, {LOPAL}, ACM, 2018, doi:10.1145/3230905.3230962
[citation][year=2017]Bouzbita, S., El Afia, A., Faizi, R., "A novel based Hidden Markov Model approach for controlling the ACS-TSP evaporation parameter", In: Proceedings of 2016 5th International Conference on Multimedia Computing and Systems, ICMCS 2016, pp. 633-638, April 2017, ISBN: 9781509051465, DOI: https://doi.org/10.1109/ICMCS.2016.7905544
[citation][year=2016]Kengo Katayama , Yusuke Okamoto, Elis Kulla, Noritaka Nishihara, "Variable Neighborhood Search Algorithms for the Node Placement Problem in Multihop Networks", Advances on Broad-Band Wireless Computing, Communication and Applications, LNCS, 2, pp. 631-638, October 2016
[citation][year=2015]Rafid Sagban, Ku Ruhana KuMahamud and Muhamad Shahbani Abu Bakar, Nature-inspired Parameter Controllers for ACO-based Reactive Search, Research Journal of Applied Sciences, Engineering and Technology 10(1): 109117, 2015
[citation][year=2014]K. Katayama, Y. Akagi, E. Kulla, H. Minamihara, and N. Nishihara, “New Kick Operators in Iterated Local Search Based Metaheuristic for Solving the Node Placement Problem in Multihop Networks,” in 2014 17th International Conference on Network-Based Information Systems, 2014, pp. 141–148.
[citation][year=2013]Ana Maria A.C. Rocha, M. Fernanda P. Costa, Edite M.G.P. Fernandes, Distribution based artificial fish swarm in continuous global optimization, Atas do XVI Congresso da Associação Portuguesa de Investigação Operacional, Oliveira, José F.; Vaz, Clara B. (Eds.), Instituto Politécnico de Bragança, p. 306-312, 2013.
[citation][year=2013]LIU Rui-jie, WANG Li-juan, SHI Yuan. Multi-Colony Ant Algorithm Applied to the Rectangular Pieces Layout Optimization. Journal of Jiangnan University(Natural Science Edition). 2013, 12(3)
[citation][year=2012]P Deepalakshmi, S Radhakrishnan. Online parameter tuning using Particle Swarm Optimization for ant-based QoS routing in mobile ad-hoc networks. International Journal of Hybrid Intelligent Systems, IOS Press, 2012. 
[citation][year=2011]Stützle, T., López-Ibánez, M., Pellegrini, P., Maur, M., De Oca, M. M., Birattari, M., & Dorigo, M. (2011). Parameter adaptation in ant colony optimization. In Autonomous search (pp. 191-215). Springer Berlin Heidelberg.
[citation][year=2010]Gómez Díaz, Yudel Rodrigo, Algoritmos que combinan conjuntos aproximados y optimización basada en colonias de hormigas para la selección de rasgos. Extensión a múltiples fuentes de datos, PhD Thesis, Universidad Central “Marta Abreu” de Las Villas. Facultad de Matemática, Física y Computación. Departamento Ciencias de la Computación, 2010
[citation][year=2010]Thomas Stutzle, Manuel Lopez-Ibanez, Paola Pellegrini, Michael Maur, Marco Montes de Oca, Mauro Birattari, and Marco Dorigo, Parameter Adaptation in Ant Colony Optimization, IRIDIA " Technical Report Series, Technical Report No. TR/IRIDIA/2010-002, January 2010

PhD Theses
2018(1 publication)
[publication]Leonor Melo , "Self Adaptation in Ant Colony Optimisation", 2018