Items where Author is "Mavrovouniotis, M"

MAVROVOUNIOTIS, M., LI, C. and YANG, S., 2017. A survey of swarm intelligence for dynamic optimization: algorithms and applications. Swarm and Evolutionary Computation, 33, pp. 1-17. ISSN 2210-6502

LI, C., NGUYEN, T.T., YANG, M., MAVROVOUNIOTIS, M. and YANG, S., 2016. An Adaptive Multipopulation Framework for Locating and Tracking Multiple Optima. IEEE Transactions on Evolutionary Computation, 20 (4), pp. 590-605. ISSN 1089-778X

MAVROVOUNIOTIS, M., MÜLLER, F.M. and YANG, S., 2016. Ant Colony Optimization With Local Search for Dynamic Traveling Salesman Problems. IEEE Transactions on Cybernetics. ISSN 2168-2267

MAVROVOUNIOTIS, M. and YANG, S., 2016. Direct Memory Schemes for Population-Based Incremental Learning in Cyclically Changing Environments. In: G. SQUILLERO and P. BURELLI, eds., Applications of evolutionary computation. Proceedings of the 19th European Conference, EvoApplications 2016, Porto, Portugal, 30 March - 1 April 2016, II. Lecture notes in computer science (9598). Berlin: Springer, pp. 233-247. ISBN 9783319311524

EATON, J., YANG, S. and MAVROVOUNIOTIS, M., 2016. Ant colony optimization with immigrants schemes for the dynamic railway junction rescheduling problem with multiple delays. Soft Computing, 20 (8), pp. 2951-2966. ISSN 1432-7643

MAVROVOUNIOTIS, M. and YANG, S., 2016. Empirical study on the effect of population size on MAX-MIN ant system in dynamic environments. In: 2016 IEEE Congress on Evolutionary Computation: Vancouver, Canada, July 24-29, 2016. Piscataway: Institute of Electrical and Electronics Engineers, pp. 853-860. ISBN 9781509006236

MAVROVOUNIOTIS, M. and YANG, S., 2015. Population-Based Incremental Learning with Immigrants Schemes in Changing Environments. In: 2015 IEEE Symposium Series on Computational Intelligence, Cape Town, South Africa, 7-10 December 2015. Piscataway, NJ: Institute of Electrical and Electronics Engineers, pp. 1444-1451. ISBN 9781479975600

MAVROVOUNIOTIS, M., MÜLLER, F.M. and YANG, S., 2015. An Ant Colony Optimization Based Memetic Algorithm for the Dynamic Travelling Salesman Problem. In: S. SILVA, ed., GECCO '15: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, Madrid, Spain, 11-15 July 2015. New York: Association for Computing Machinery (ACM), pp. 49-56. ISBN 9781450334723

MAVROVOUNIOTIS, M. and YANG, S., 2015. Training neural networks with ant colony optimization algorithms for pattern classification. Soft Computing, 19 (6), pp. 1511-1522. ISSN 1432-7643

MAVROVOUNIOTIS, M., NERI, F. and YANG, S., 2015. An adaptive local search algorithm for real-valued dynamic optimization. In: Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC), Sendai, Japan, 25-28 May 2015. New York: Institute of Electrical and Electronics Engineers, pp. 1388-1395. ISBN 9781479974924

MAVROVOUNIOTIS, M. and YANG, S., 2015. Ant algorithms with immigrants schemes for the dynamic vehicle routing problem. Information Sciences, 294, pp. 456-477. ISSN 0020-0255

MAVROVOUNIOTIS, M. and YANG, S., 2015. Applying Ant Colony Optimization to Dynamic Binary-Encoded Problems. In: A.M. MORA and G. SQUILLERO, eds., Applications of evolutionary computation: 18th European Conference, EvoApplications 2015, Copenhagen, Denmark, April 8-10, 2015. Proceedings. Lecture notes in computer science (9028). Berlin: Springer, pp. 845-856. ISBN 9783319165486

MAVROVOUNIOTIS, M. and YANG, S., 2014. Ant colony optimization with self-adaptive evaporation rate in dynamic environments. In: 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE 2014): Orlando, Florida, USA 9-12 December 2014. Piscataway: Institute of Electrical and Electronics Engineers, pp. 47-54. ISBN 9781479945146

MAVROVOUNIOTIS, M. and YANG, S., 2014. Elitism-based immigrants for ant colony optimization in dynamic environments: Adapting the replacement rate. In: 2014 IEEE Congress on Evolutionary Computation: Beijing, China, July 6-11, 2014. Piscataway: Institute of Electrical and Electronics Engineers, pp. 1752-1759. ISBN 9781479914883

MAVROVOUNIOTIS, M. and YANG, S., 2014. Interactive and non-interactive hybrid immigrants schemes for ant algorithms in dynamic environments. In: 2014 IEEE Congress on Evolutionary Computation: Beijing, China, July 6-11, 2014. Piscataway: Institute of Electrical and Electronics Engineers, pp. 1542-1549. ISBN 9781479914883

MAVROVOUNIOTIS, M., YANG, S. and YAO, X., 2014. Multi-colony ant algorithms for the dynamic travelling salesman problem. In: 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments (CIDUE 2014): Orlando, Florida, USA 9-12 December 2014. Piscataway: Institute of Electrical and Electronics Engineers, pp. 9-16. ISBN 9781479945146

MAVROVOUNIOTIS, M. and YANG, S., 2013. Ant colony optimization with immigrants schemes for the dynamic travelling salesman problem with traffic factors. Applied Soft Computing, 13 (10), pp. 4023-4037. ISSN 1568-4946

MAVROVOUNIOTIS, M. and YANG, S., 2013. Adapting the Pheromone Evaporation Rate in Dynamic Routing Problems. In: A.I. ESPARCIA-ALCÁZAR, ed., Applications of evolutionary computation: 16th European Conference, EvoApplications 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Lecture notes in computer science, 7835 (7835). Berlin: Springer, pp. 606-615. ISBN 9783642371912

MAVROVOUNIOTIS, M. and YANG, S., 2013. Ant Colony Optimization Algorithms with Immigrants Schemes for the Dynamic Travelling Salesman Problem. In: S. YANG and X. YAO, eds., Evolutionary computation for dynamic optimization problems. Studies in computational intelligence (490). Berlin: Springer, pp. 317-341. ISBN 9783642384158

MAVROVOUNIOTIS, M. and YANG, S., 2013. Dynamic Vehicle Routing: A Memetic Ant Colony Optimization Approach. In: A.S. ETANER-UYAR, E. OZCAN and N. URQUHART, eds., Automated scheduling and planning : from theory to practice. Studies in computational intelligence (505). Berlin: Springer, pp. 283-301. ISBN 9783642393037

MAVROVOUNIOTIS, M. and YANG, S., 2013. Evolving neural networks using ant colony optimization with pheromone trail limits. In: Y. JIN and S.A. THOMAS, eds., 2013 13th UK Workshop on Computational Intelligence (UKCI) : UKCI 2013 : Management School Foyer, University of Surrey, Guildford, Surrey, UK, 9-11 September 2013. Piscataway: Institute of Electrical and Electronics Engineers, pp. 16-23. ISBN 9781479915682

MAVROVOUNIOTIS, M. and YANG, S., 2013. Genetic algorithms with adaptive immigrants for dynamic environments. In: 2013 IEEE Congress on Evolutionary Computation: Cancún, México, June 20-23, 2013. Piscataway: Institute of Electrical and Electronics Engineers, pp. 2130-2137. ISBN 9781479904549

MAVROVOUNIOTIS, M. and YANG, S., 2012. Ant Colony Optimization with Immigrants Schemes for the Dynamic Vehicle Routing Problem. In: C. DI CHIO, ed., Applications of evolutionary computation: EvoApplications 2012: EvoCOMNET, EvoCOMPLEX, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoNUM, EvoPAR, EvoRISK, EvoSTIM, and EvoSTOC, Málaga, Spain, April 11-13, 2012. Proceedings. Lecture notes in computer science (7248). Berlin: Springer, pp. 519-528. ISBN 9783642291777

MAVROVOUNIOTIS, M. and YANG, S., 2012. Ant colony optimization with memory-based immigrants for the dynamic vehicle routing problem. In: 2012 IEEE Congress on Evolutionary Computation: Brisbane, Australia, June 10-15, 2012. Piscataway: Institute of Electrical and Electronics Engineers. ISBN 9781467315098

MAVROVOUNIOTIS, M., YANG, S. and YAO, X., 2012. A Benchmark Generator for Dynamic Permutation-Encoded Problems. In: C.A. COELLO COELLO, ed., Parallel problem solving from nature - PPSN XII: 12th International Conference, Taormina, Italy, September 1-5, 2012. Proceedings. Part II. Lecture notes in computer science (7492). Berlin: Springer, pp. 508-517. ISBN 9783642329630

MAVROVOUNIOTIS, M. and YANG, S., 2012. An Immigrants Scheme Based on Environmental Information for Ant Colony Optimization for the Dynamic Travelling Salesman Problem. In: J.-K. HAO, ed., Artificial evolution : 10th International Conference, Evolution Artificielle, EA 2011, Angers, France, October 24-26, 2011 : revised selected papers. Lecture notes in computer science (7401). Berlin: Springer, pp. 1-12. ISBN 9783642355325

MAVROVOUNIOTIS, M., 2011. An ant system with direct communication for the capacitated vehicle routing problem. In: The 11th UK Workshop on Computational Intelligence (UKCI), University of Manchester, Manchester, 7-9 September 2011.

MAVROVOUNIOTIS, M. and YANG, S., 2011. A memetic ant colony optimization algorithm for the dynamic travelling salesman problem. Soft Computing, 15 (7), pp. 1405-1425. ISSN 1432-7643

MAVROVOUNIOTIS, M. and YANG, S., 2011. Memory-Based Immigrants for Ant Colony Optimization in Changing Environments. In: C. DI CHIO, ed., Applications of evolutionary computation: EvoApplications 2011 : EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Torino, Italy, April 27-29, 2011. Proceedings. Part I. Lecture notes in computer science (6624). Berlin: Springer, pp. 324-333. ISBN 9783642205248

MAVROVOUNIOTIS, M. and YANG, S., 2010. Ant Colony Optimization with Immigrants Schemes in Dynamic Environments. In: R. SCHAEFER, C. COTTA, J. KOŁODZIEJ and G. RUDOLPH, eds., Parallel problem solving from nature, PPSN XI. Proceedings of the 11th International Conference, Kraków, Poland, September 11-15, 2010. Lecture notes in computer science, II (6239). Berlin: Springer, pp. 371-380. ISBN 9783642158704

MAVROVOUNIOTIS, M. and YANG, S., 2010. Ant colony optimization with direct communication for the traveling salesman problem. In: Proceedings of the 2010 UK Workshop on Computational Intelligence (UKCI), Essex University, Colcheser, 8-10 September 2010. New York: Institute of Electrical and Electronics Engineers, pp. 1-6. ISBN 9781424487752