References in zbMATH (referenced in 31 articles )

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  1. Rudolph, Günter; Schütze, Oliver; Grimme, Christian; Domínguez-Medina, Christian; Trautmann, Heike: Optimal averaged Hausdorff archives for bi-objective problems: theoretical and numerical results (2016)
  2. Duarte, Abraham; Pantrigo, Juan J.; Pardo, Eduardo G.; Mladenovic, Nenad: Multi-objective variable neighborhood search: an application to combinatorial optimization problems (2015)
  3. Lin, Qiuzhen; Li, Jianqiang; Du, Zhihua; Chen, Jianyong; Ming, Zhong: A novel multi-objective particle swarm optimization with multiple search strategies (2015)
  4. Lin, Qiuzhen; Zhu, Qingling; Huang, Peizhi; Chen, Jianyong; Ming, Zhong; Yu, Jianping: A novel hybrid multi-objective immune algorithm with adaptive differential evolution (2015)
  5. Ortigosa, P.M.; Hendrix, E.M.T.; Redondo, J.L.: On heuristic bi-criterion methods for semi-obnoxious facility location (2015)
  6. Ruiz, Ana Belén; Saborido, Rubén; Luque, Mariano: A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm (2015)
  7. Alves, Maria João; Costa, João Paulo: An algorithm based on particle swarm optimization for multiobjective bilevel linear problems (2014)
  8. Assunção, Wesley Klewerton Guez; Colanzi, Thelma Elita; Vergilio, Silvia Regina; Pozo, Aurora: A multi-objective optimization approach for the integration and test order problem (2014)
  9. Denysiuk, Roman; Costa, Lino; Santo, Isabel Espírito: Generalized multiobjective evolutionary algorithm guided by descent directions (2014)
  10. Fard, Hamid Mohammadi; Prodan, Radu; Fahringer, Thomas: Multi-objective list scheduling of workflow applications in distributed computing infrastructures (2014)
  11. Kotinis, Miltiadis: Improving a multi-objective differential evolution optimizer using fuzzy adaptation and $K$-medoids clustering (2014)
  12. Denysiuk, Roman; Costa, Lino; Espírito Santo, Isabel: A new hybrid evolutionary multiobjective algorithm guided by descent directions (2013)
  13. Dorronsoro, Bernabé; Danoy, Grégoire; Nebro, Antonio J.; Bouvry, Pascal: Achieving super-linear performance in parallel multi-objective evolutionary algorithms by means of cooperative coevolution (2013)
  14. García-Sánchez, P.; González, J.; Castillo, P.A.; Arenas, M.G.; Merelo-Guervós, J.J.: Service oriented evolutionary algorithms (2013)
  15. Grimme, Christian; Lepping, Joachim; Schwiegelshohn, Uwe: Multi-criteria scheduling: an agent-based approach for expert knowledge integration (2013)
  16. Lang, Jan Christian; Widjaja, Thomas: OREX-J: Towards a universal software framework for the experimental analysis of optimization algorithms (2013)
  17. Lin, Qiuzhen; Chen, Jianyong: A novel micro-population immune multiobjective optimization algorithm (2013)
  18. Mora, A.M.; García-Sánchez, P.; Merelo, J.J.; Castillo, P.A.: Pareto-based multi-colony multi-objective ant colony optimization algorithms: an island model proposal (2013)
  19. Nesmachnow, Sergio: Parallel multiobjective evolutionary algorithms for batch scheduling in heterogeneous computing and grid systems (2013)
  20. Yun, Yeboon; Nakayama, Hirotaka: Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms (2013)

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