References in zbMATH (referenced in 22 articles )

Showing results 1 to 20 of 22.
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  1. Redondo, J.L.; Fernández, J.; Ortigosa, P.M.: FEMOEA: a fast and efficient multi-objective evolutionary algorithm (2017)
  2. Ye Tian, Ran Cheng, Xingyi Zhang, Yaochu Jin: PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization (2017) arXiv
  3. Miyakawa, Minami; Takadama, Keiki; Sato, Hiroyuki: Controlling selection areas of useful infeasible solutions for directed mating in evolutionary constrained multi-objective optimization (2016)
  4. Schütze, Oliver; Martín, Adanay; Lara, Adriana; Alvarado, Sergio; Salinas, Eduardo; Coello Coello, Carlos A.: The directed search method for multi-objective memetic algorithms (2016)
  5. Attea, Bara’a A.; Khalil, Enan A.; Özdemir, Suat: Biologically inspired probabilistic coverage for mobile sensor networks (2014) ioport
  6. Chen, Yu; Zou, Xiufen: Runtime analysis of a multi-objective evolutionary algorithm for obtaining finite approximations of Pareto fronts (2014)
  7. Giagkiozis, I.; Purshouse, R.C.; Fleming, P.J.: Generalized decomposition and cross entropy methods for many-objective optimization (2014)
  8. González-Álvarez, David L.; Vega-Rodríguez, Miguel A.; Rubio-Largo, Álvaro: Convergence analysis of some multiobjective evolutionary algorithms when discovering motifs (2014) ioport
  9. Lei, Yu; Gong, Maoguo; Zhang, Jun; Li, Wei; Jiao, Licheng: Resource allocation model and double-sphere crowding distance for evolutionary multi-objective optimization (2014)
  10. Li, Jianping; Tang, Ling; Sun, Xiaolei; Wu, Dengsheng: Oil-importing optimal decision considering country risk with extreme events: a multi-objective programming approach (2014)
  11. Li, Yangyang; Wei, Ying; Wang, Yang; Jiao, Licheng: Multi-objective evolutionary for synthetic aperture radar image segmentation with non-local means denoising (2014) ioport
  12. Ma, Xiaoliang; Qi, Yutao; Li, Lingling; Liu, Fang; Jiao, Licheng; Wu, Jianshe: MOEA/D with uniform decomposition measurement for many-objective problems (2014) ioport
  13. Nguyen, Long; Bui, Lam T.; Abbass, Hussein A.: DMEA-II: the direction-based multi-objective evolutionary algorithm-II (2014) ioport
  14. Shang, Ronghua; Wang, Yuying; Wang, Jia; Jiao, Licheng; Wang, Shuo; Qi, Liping: A multi-population cooperative coevolutionary algorithm for multi-objective capacitated arc routing problem (2014)
  15. Özdemir, Suat; Attea, Bara’a A.; Khalil, Önder A.: Multi-objective clustered-based routing with coverage control in wireless sensor networks (2013) ioport
  16. Sato, Hiroyuki; Aguirre, Hernán; Tanaka, Kiyoshi: Variable space diversity, crossover and mutation in MOEA solving many-objective knapsack problems (2013)
  17. Sengupta, Soumyadip; Das, Swagatam; Nasir, Md.; Suganthan, P.N.: Risk minimization in biometric sensor networks: an evolutionary multi-objective optimization approach (2013) ioport
  18. Tan, Yan-yan; Jiao, Yong-chang; Li, Hong; Wang, Xin-kuan: MOEA/D + uniform design: a new version of MOEA/D for optimization problems with many objectives (2013)
  19. Almeida, Carolina P.; Gonçalves, Richard A.: An experimental analysis of evolutionary heuristics for the biobjective traveling purchaser problem (2012)
  20. Tan, Yan-Yan; Jiao, Yong-Chang; Li, Hong; Wang, Xin-Kuan: A modification to MOEA/D-DE for multiobjective optimization problems with complicated Pareto sets (2012)

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Further publications can be found at: http://dces.essex.ac.uk/staff/zhang/webofmoead.htm