References in zbMATH (referenced in 64 articles )

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  1. Hansen, Nikolaus; Auger, Anne; Ros, Raymond; Mersmann, Olaf; Tušar, Tea; Brockhoff, Dimo: COCO: a platform for comparing continuous optimizers in a black-box setting (2021)
  2. López-Sánchez, A. D.; Sánchez-Oro, J.; Laguna, M.: A new scatter search design for multiobjective combinatorial optimization with an application to facility location (2021)
  3. Dong, Zhiming; Wang, Xianpeng; Tang, Lixin: MOEA/D with a self-adaptive weight vector adjustment strategy based on chain segmentation (2020)
  4. Drake, John H.; Kheiri, Ahmed; Özcan, Ender; Burke, Edmund K.: Recent advances in selection hyper-heuristics (2020)
  5. Felipe Campelo, Lucas Batista, Claus Aranha: The MOEADr Package: A Component-Based Framework for Multiobjective Evolutionary Algorithms Based on Decomposition (2020) not zbMATH
  6. Francesco Biscani; Dario Izzo: A parallel global multiobjective framework for optimization: pagmo (2020) not zbMATH
  7. Ruiz, Ana B.; Saborido, Rubén; Bermúdez, José D.; Luque, Mariano; Vercher, Enriqueta: Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences (2020)
  8. Stanojević, Bogdana; Glover, Fred: A new approach to generate pattern-efficient sets of non-dominated vectors for multi-objective optimization (2020)
  9. Tang, Weisen; Liu, Hai-Lin; Chen, Lei; Tan, Kay Chen; Cheung, Yiu-ming: Fast hypervolume approximation scheme based on a segmentation strategy (2020)
  10. Ying, Weiqin; Huang, Junjie; Wu, Yu; Deng, Yali; Xie, Yuehong; Wang, Zhenyu; Lin, Zhiyi: Multi-dimensional tree guided efficient global association for decomposition-based evolutionary many-objective optimization (2020)
  11. Bock, Stefan; Klamroth, Kathrin: Combining traveling salesman and traveling repairman problems: a multi-objective approach based on multiple scenarios (2019)
  12. Ioannis T. Christou: Popt4jlib: A Parallel/Distributed Optimization Library for Java (2019) arXiv
  13. Majumder, Saibal; Kar, Samarjit; Pal, Tandra: Uncertain multi-objective Chinese postman problem (2019)
  14. Santiago, Alejandro; Dorronsoro, Bernabé; Nebro, Antonio J.; Durillo, Juan J.; Castillo, Oscar; Fraire, Héctor J.: A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME (2019)
  15. Majumder, Saibal; Kar, Samarjit; Pal, Tandra: Mean-entropy model of uncertain portfolio selection problem (2018)
  16. Halassi, Abdoul-hafar: An attractor-based multiobjective particle swarm optimization (2017)
  17. Kukkonen, Saku; Coello Coello, Carlos A.: Generalized differential evolution for numerical and evolutionary optimization (2017)
  18. Lin, Qiuzhen; Tang, Chaoyu; Ma, Yueping; Du, Zhihua; Li, Jianqiang; Chen, Jianyong; Ming, Zhong: A novel adaptive control strategy for decomposition-based multiobjective algorithm (2017)
  19. Redondo, J. L.; Fernández, J.; Ortigosa, P. M.: FEMOEA: a fast and efficient multi-objective evolutionary algorithm (2017)
  20. Rivera-Lopez, Rafael; Canul-Reich, Juana: A global search approach for inducing oblique decision trees using differential evolution (2017)

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