Publications referencing jMetal

  1. Wesam Herbawi and Michael Weber. Evolutionary Multiobjective Route Planning in Dynamic Multi-hop Ridesharing.Evolutionary Computation in Combinatorial Optimization Lecture Notes in Computer Science, 2011, Volume 6622/2011, 84-95, DOI: 10.1007/978-3-642-20364-0_8
  2. Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Silvia Regina Vergilio and Aurora Pozo. Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach. Search Based Software Engineering Lecture Notes in Computer Science, 2011, Volume 6956/2011, 188-203, DOI: 10.1007/978-3-642-23716-4_18
  3. Sandra García, David Quintana, Inés M. Galván and Pedro Isasi. Portfolio Optimization Using SPEA2 with Resampling. Intelligent Data Engineering and Automated Learning - IDEAL 2011 Lecture Notes in Computer Science, 2011, Volume 6936/2011, 127-134, DOI: 10.1007/978-3-642-23878-9_16
  4. Shin Yoo, Mark Harman and Shmuel Ur. Highly Scalable Multi Objective Test Suite Minimisation Using Graphics Cards. Search Based Software Engineering Lecture Notes in Computer Science, 2011, Volume 6956/2011, 219-236, DOI: 10.1007/978-3-642-23716-4_20
  5. Christian Grimme, Joachim Lepping and Uwe Schwiegelshohn. Multi-criteria scheduling: an agent-based approach for expert knowledge integration. Journal of Scheduling DOI: 10.1007/s10951-011-0256-7.
  6. Siwei Jiang, Jie Zhang and Yew Soon Ong. Asymmetric Pareto-adaptive Scheme for Multiobjective Optimization. AI 2011: Advances in Artificial Intelligence Lecture Notes in Computer Science, 2011, Volume 7106/2011, 351-360, DOI: 10.1007/978-3-642-25832-9_36
  7. Youcef Bouchebaba, Pierre Paulin and Gabriela Nicolescu. MpAssign: A Framework for Solving the Many-Core Platform Mapping Problem. Design Technology for Heterogeneous Embedded Systems 2012, Part 1, 197-221, DOI: 10.1007/978-94-007-1125-9_10
  8. Mohammad Hamdan. A Dynamic Polynomial Mutation for Evolutionary Multi-Objective Optimization Algorithms. International Journal on Artificial Intelligence Tools - IJAIT, vol. 20, no. 1, pp. 209-219, 2011.
  9. Pruet Boonma and Junichi Suzuki. A Confidence-based Dominance Operator in Evolutionary Algorithms for Noisy Multiobjective Optimization Problems. Proceedings of the 21st IEEE Conf. on Tools with Artificial Intelligence, pages 387-394.2009.
  10. DiogoF. de Oliveira, Anne M. P. Canuto and Marcilio C. P. de Souto. Use of Multi-Objective Genetic Algorithms to Investigate the Diversity/Accuracy Dilemma in Heterogeneous Ensembles. Proceedings of the International Joint Conf. on Neural Networks, pages, 2339-2346. 2009.
  11. Sébastien Le Beux, Gabriela Nicolescu, Guy Bois, Youcef Bouchebaba, Michel Langevin and Pierre Paulin. Optimizing Configuration and Application Mapping for MPSoC Architectures. NSA/ESA Conference on Adaptive Hardware and Systems, pages 474-481.2009.
  12. Noura Al Moubayed, Bashar Awwad Shiekh Hasan, Jonh Q. Gan, Andrei Petrovski and John McCall. Binary-SDMOPSO and its Application in Channel Selection for Brain-Computer Interfaces. Proceedings of the Workshop on Computational Intelligence, pages, 1-6. 2010.
  13. Yuyang Zhang and Yan Meng. A Decentralized Multi-Robot System for Intruder Detection in Security Defense. Proceedings of the IEEE/RSJ International Conf. on Intelligent Robots and Systems, pages 5563-5568. 2010.
  14. Horia Calborean and Lucia Vintan. An Automatic Design Space Exploration Framework for Multicore Architecture Optimizations. Proceedings of the 9th RoEduNet IEEE International Conf., pages 202-207. 2010.
  15. Christopher Best, Xiangdong Che, Robert G. Reynolds and Dapeng Liu. Multi-objective Cultural Algorithms. Proceedings of the IEEE Congress on Evolutionary Computation, pages 1-9. 2010.
  16. Pavan Vejandla, Dipankar Dasgupta, Aishwarya Kaushal and Fernando Nino. Evolving Gaming Strategies for Attacker-Defender in a Simulated Network Environment. Proceeding of the IEEE International Conf. on Social Computing/ IEEE International Conf. on Privacy, Security, and Trust, pages 889-896. 2010.
  17. Ibrahim Karahan and Murat Köksalan. A Territory Defining Multiobjective Evolutionary Algorithms and Preference Incorporation. IEEE Tran. on Evolutionary Computation, Vol. 14, No 4, pages 636-664, August 2010.
  18. Pilar Caamaño, Rafael Tedín, Alejandro Paz-Lopez and Jose Antonio Becerra. JEAF: A Java Evolutionary Algorithm Framework. Proceedings of the IEEE Congress on Evolutionary Computation, pages 1-8. 2010.
  19. Siwei Jiang and Zhihua Cai. A New Differential Evolution for Multiobjective Optimization by Uniform Design and Minimum Reduce Hypervolume. Proceedings in Information and Communications Technology, pages 199-208. 2010.
  20. Siwei Jiang and Zhihua Cai. A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. Proceedings in Information and Communications Technology, pages 28-37. 2010.
  21. Noura Al Moubayed, Andrei Petrovski, and John McCall. A Novel Smart Multi-Objective Particle Swarm Optimisation Using Decompostion. Proceedings of the International Conf. on Parallel Problem Solving From Nature, pages 1-10. 2010.
  22. Siwei Jiang and Zhihua Cai. Faster Convergence and Higher Hypervolume for Multi-objective Evolutionary Algorithms by Orthogonaland Uniform Design. Proceedings in Information and Communications Technology, pages 312-328. 2010.
  23. Juan C. Vidal, Manuel Mucientes, Alberto Bugarín and Manuel Lama. Machine Scheduling in Custom Furniture Indistry Through Neuro-Evolutionary Hybridization. Applied Soft Computing, in press. 2010.
  24. Sébastien Le Beux, Guy Bois, Gabriela Nicolescu, Youcef Bouchebaba, Michel Langevin, Pierre Paulin. Combining mapping and partioning exploration for NoC-based embedded systems. Journal of System Architecture, N. 56, pages 223-232. 2010.
  25. Fracesco Marcelloni and Massimo Vecchio. Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization. Information Science, N. 180, pages 1924-1941. 2010.
  26. Miguel Rocha, Pedro Souza, Paulo Cortez and Miguel Rio. Quality of Servici constrained routing optimization using Evolutionary Computation. Applied Soft Computing, N. 11, pages 356-364. 2011.
  27. Fanchao Zeng, Malcolm Yoke Hean Low, James Decraene, Suiping Zhou and Wentong Cai. Self-Adaptive Mechanism for Multi-objective Evolutionary Algorithms. Proceedings of the International MultiConference of Engineers and Computer Scientists. 2010.
  28. Fanchao Zeng, James Decraene, Malcolm Yoke Hean Low, Philip Hingston, Cai Wentong, Zhou Suiping and Mahinthan Chandramohan. Autonomous Bee Colony Optimization for Multi-objective Function. Proceedings of the IEEE Congress on Evolutionary Computation. 2010.
  29. Guojun Zhang, Guibing Gao, Gang Huang and Peihua Gu. MDEA: A Multi-level Dynamic Evolution Algorithm for Multi-objective Optimization. Proceedings of the World Congress on Engineering. 2010.
  30. Shu-Kai S. Fan and Ju-Ming Chang. A parallel particle swarm optimization algorithm for multi-objective optimization problems. Enineering Optimization, Vol. 41, N. 7, pages 673-697. July 2009.
  31. Dipankar Dasgupta, German Hernandez, Andres Romero, Deon Garrett, Aishwarya Kaushal and James Simien. On the Use of Informed Initialization and Extreme Solutions Sub-population in Multiobjective Evolutionary Algorithms. Proceedings of the IEEE Symposium Series on Computational Intelligence. 2009.
  32. Jesús Burbano, Germán Hernández and Dipankar Dasgupta. Approximating the Pareto Front using an Extension of Kuhn-Munkres and MOE Algorithms in Multi-Objective Problems. Proceedings of the ISSRL. 2009.
  33. Madan Sathe, Olaf Schenk, and Helmar Burkhart. Solving Bi-objective many-Constraint Bin Packing Problems in Automobile Sheet Metal Forming Processes. Proceedings of the Conf. on Evolutionary Multi-citerion Optimization, pages 246-260. 2009.
  34. David Trastour and Athena Christdoulou. Towards Robust IT Service Portfolio Management. Proceedings of the 20th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management, pages 152-163. 2009.
  35. Theodoros Vergidis, Kostas Vergidis and Ashutosh Tiwari. The evaluation line: A posteriori preference articulation approach. Proceedings of the IEEE Congress on Evolutionary Computation, pages 2694-2700. 2008.
  36. Diogo F de Oliveira, Anne M P Canuto and Marcilio C P de Souto. The Diversity/Accuracy Dilemma: An Empirical Analysis in the Context of Hterogeneous Ensembles. Proceedings of the IEEE Congress on Evolutionary Computation, pages 939-946. 2009.
  37. Camila Loiola Brito Maia, Rafael Augusto Ferreira do Carmo, Fabrício Gomes de Freitas, Gustavo Augusto Lima de Campos, and Jerffeson Teixeira de Souza. Multi-objective Approach for the Regression Test Case Selection Problem.
  38. Francesco Cusmai, Carola Aiello, Monica Scannapieco, and Tiziana Catarci. EARL: an Evolutionary Algorithm for Record Linkage. Proceedings of QDB/MUD, pages 23-32. 2008.
  39. Francesco Cusmai, Carola Aiello, Monica Scannapieco, and Tiziana Catarci. Record Linkage as a Multiobjective Optimization Problem solved by Evolutionary Computation. Proceedings of ESTEEM. 2008.
  40. Diogo F. Pacheco, Flávio R. S. Oliveira and Fernando B. Lima Neto. Including Multi-Objective Abilities in the Hybrid Intelligent Suite for Decision Support. Proceedings of the IJCNN, pages 4036-4043. 2008.
  41. Juan D. Rodríguez and Jose A. Lozano. Multi-objective learning of multi-dimensional Bayesian classifiers. Proceedings of the 8th International Conference on Hybrid Intelligent Systems. 2008.
  42. Christian Vecchiola, Michael Kirley and Rajkumar Buyya. Multi-Objective Problem Solving With Offspring on Enterprise Clouds. Proceedings of the 10th International Conference on High-Performance Computing in Asia-Pacific Region, pages 132-139. 2009.
  43. Malcolm Yoke Hean Low, Chwee Seng Choo and Mahinthan Chandramohan. Application of Multi-objective Bee Colony Optimization Algorithm to Automated Red Teaming. Proceedings of the 2009 Winter Simulation Conference, pages 1798-1808. 2009.
  44. Daniel Pinto Coutinho, Fabrício Gomes de Freitas, Rafael Augusto Ferrerira do Carmo, Camila Loiola Brita Maia and Jerffeson Teixeira de Souza. Uma Abordagem Multi-objetiva para o Problema da Alocação de Equipes.
  45. Igor Machado Coelho, Sabir Ribas, Mário Henrique de Paiva Perché, Pablo Luiz Araújo Munhoz, Marcone Jamilson Freitas Souza and Luiz Satoru Ochi. OptFrame: a computational framework for combinatorial optimization problems.
  46. Bashar Awwad Shiekh Hasan and John Q. Gan. Multi-Objective Particle Swarm Optimization for Channel Selection in Brain-Computer Interfaces.
  47. Weishan Zhang, Julian Schütte, Mads Ingstrup and Klaus M. Hansen. A Genetic Algorithms-Based Approach for Optimized Self-protection in a Pervasive Service Middleware. Proceedings of the ICSOC-ServiceWave, pages 404-419. 2009.
  48. Santosh Tiwari, Patrick Koch, Georges Fadel and Kalyanmoy Deb. AMGA: An Archive-based Micro Genetic Algorithm for Multi-objective Optimization. Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 729 - 736. 2008.
  49. Kostas Vergidis and Auhutosh Tiwari. Business Process Design and Attribute Optimization within an Evolutionary Framework. Proceedings of the IEEE Congress on Evolutionary Computation, pages 668-675. 2008.
  50. Laura E A Santana, Lígia Silva and Anne M P Canuto. Feature Selection in Heterogeneous Structure of Ensembles: A Genetic Algorithm Approach. Proceedings of the International Joint Conf. on Neural Networks, pages 2784-2791. 2009.
  51. José M. Alonso and Luis Magdalena. GUAJE- A Java Environment for Generating Understandable and Accurate Models. Proceedings of the ESTYLF, pages 399 - 404. 2010.
  52. Tjorben Bogon, Andreas D. Lattner, Yann Lorion and Ingo J. Timm. An Agent-based Approach for Dynamic Combination and Adaptation of Metaheuristics. Proceedings of the MKWI, pages 2345 - 2357. 2010.
  53. Javier Roca, Etienne Pugnaghi and Gaëtan Libert. Solving an Extended Resource Leveling Problem with Multiobjective Evolutionary Algorithms. World Academy of Science, Engineering and Technology 46. 2008.
  54. Dipankar Dasgupta, Fernando Nino, Deon Garrett, Koyel Chaudhuri, Soujanya Medapati, Aishwarya Kaushal. A Multiobjective Evolutionary Algorithm for the Task Basd Sailor Assignment Problem. Proceedings of the 11th annual conference on Genetic and evolutionary computation. 2009.
  55. Zeeshan Omer Khokhar, Hengameh Vehabzadeh, Amirreza Ziai, G. Gary Wang, Carlo Menon. On the Performance of the Pareto Set Pursuing (PSP) Method for Mixed-Variable Multi-Objective Design Optimization. Journal of Mechanical Design, Vol. 132, N. 7. July 2010.
  56. Arnaud Liefooghe, Laetitia Jourdan and El-Ghazali Talbi. A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadiseEO-MOEO. Institut national de recherche en informatique en automatique, INRIA. Technical report 6906. 2009.
  57. Weishan Zhang and Marius Hansen. An Evaluation of the NSGA-II and MOCell Genetic Algorithms for Self-management Planning in a Pervasive Service Middleware. Proceedings of the 14th IEEE Conf. on Engineering of Complex Computer Systems, pages 192-201. 2009.
  58. Arthur G. Carvalho and Aluzio F. R. Araujo. Improving NSGA-II with an Adaptive Mutation Operator. Proceedings of the 11th annual conference on Genetic and evolutionary computation. 2009.
  59. Luciano Baresi and Matteo Miraz. TestFul: Automatic Unit-Test Generation for Java Classes. Proceedings of the ICSE, pages 281-284. 2010.
  60. Osama Al-Haj Hassan, Lakshmish Ramaswamy, John Miller, Khaled Rasheed and E. Rodney Canfield. Replication in Overlay Networks: A Multi-objective Optimization Approach. Proceedings of Collaborative Computing: Networking, Applications and Worksharing, pages 512-528. 2009.
  61. Siwei Jiang and Zhihua Cai. Enhance the Convergence and Diversity for e-MOPSO by Uniform Design and Minimum Reduce Hypervolume. Proceedings of the International Conf. on Artificial Intelligence and Computational Intelligence, pages 129-133. 2009.
  62. Piotr Jankowski and Grant Fraley. A Geovisual Analytics Approach to Spatial Multiple Objetive Optimization. Proceedings of the 24th International Cartographic Conference. 2009.
  63. Dang-Khoa Tran and Tran Van Hoai. The framework for parallel metaheuristics applications on Grid.
  64. Antony Waldock and David Corne. Multiple Objective Optimisation applied to Route Planning. Proceedings of the 5th SEAS DTC Technical Conference. 2010.
  65. Bernabé Dorronsoro, Pascal Bouvry and J. Alberto Cañero. Multi-objective Robust Static Mapping of Independent Tasks on Grids. Proceedings of the IEEE Congress on Evolutionary Computation. 2010.
  66. Dipankar Dasgupta, German Hernandez, Deon Garrett, Pavan Kalyan Vejandla, Aishwarya Kaushal, Ramjee Yerneni and James Simien. A Comparison of Multiobjective Evolutionary Algorithms with Informed Initialization and Kuhn-Munkres Algorithm for the Sailor Assignment Problem. Proceedings of the 10th annual conference on Genetic and evolutionary computation. 2008.
  67. Alexis Rodríguez and SErgio Nesmachnow. MOE: un entorno de trabajo para optimización multiobjetivo con algoritmos evolutivos. Instituto de Computación - Facultad de Ingeniería, Universidad de la República, Montevideo, Urugay. Technical report RT 09-21.
  68. Rafael Augusto Ferreira do Carmo, Gustavo Augusto Lima de Campos and Jerffeson Teixeira de Souza. EASYMETA: A Framework of Metaheuristics for Monoobjective Optimization Problems.
  69. Emma Byrne. Optimising the Flow of Experiments to a Robot Scientist with Multi-Objective Evolutionary Algorithms. Proceedings of the 9th annual conference on Genetic and evolutionary computation. 2007.
  70. Antony Waldock and David Corne. Multi-Objective Probability Collectives. Proceedings of Applications of Evolutionary Computation EvoApplications. 2010.
  71. Horia Calborean and Lucian Vintan. Toward an efficient automatic design space exploration frame for multicore optimization.
  72. Heike Trautmann, Uwe Ligges, Jörn Mehnen and Mike Preuss. A Convergence Criterion for Multiobjective Evolutionary Algorithms Based on Systematic Statistical Testing. Proceedings of the International Conf. on Parallel Problem Solving From Nature, pages 825-836. 2008.
  73. Antony Waldock and David Corne. Preliminary Results of Applying Probability Collectives to Multi-Objective Optimisation Problems.
  74. Grégoire Danoy, Bernabé Dorronsoro, Pascal Boury, Bojan Reljic and Frank Zimmer. Multi-objective Optimization for Information Sharing in Vehicular Ad Hoc Networks. Proceeding of the IAIT, pages 58-70. 2009.
  75. Konstantino Vergidis. Business Process Optimisation using an Evolutionary Multi-objective Framework. PhD dissertation. School of applied sciences. University of Cranfield. 2008.
  76. Diogo Fagundes de Oliveira. Dilema da Diversidade-Acurácia: Um estudo empírico no contexto de multiclassificadores. Masther thesis. Universidade Federal do Rio Grande do Norte. 2008.
  77. Javier López, Laura Lanzarini, Armando De Giusti. VarMOPSO: Multi-Objective Particle Swarm Optimization with Variable Population Size. Advances in Artificial Intelligence - IBERAMIA 2010.