CEC 05

Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization. .. In this report, 25 benchmark functions are given and experiments are conducted on some real-parameter optimization algorithms. The codes in Matlab, C and Java for them could be found at http://www.ntu.edu.sg/home/EPNSugan/. The mathematical formulas and properties of these functions are described in Section 2. In Section 3, the evaluation criteria are given. Some notes are given in Section 4

References in zbMATH (referenced in 169 articles )

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  1. Chacón Castillo, Joel; Segura, Carlos: Differential evolution with enhanced diversity maintenance (2020)
  2. Liang, Jing; Li, Yaxin; Qu, Boyang; Yu, Kunjie; Hu, Yi: Mutation strategy selection based on fitness landscape analysis: a preliminary study (2020)
  3. Wang, Chun-feng; Liu, Kui; Shen, Pei-ping: A novel genetic algorithm for global optimization (2020)
  4. Ziadi, Raouf; Bencherif-Madani, Abdelatif; Ellaia, Rachid: A deterministic method for continuous global optimization using a dense curve (2020)
  5. Babayan, Narek; Tahani, Mojtaba: Team arrangement heuristic algorithm (TAHA): theory and application (2019)
  6. Harrison, Kyle Robert; Ombuki-Berman, Beatrice M.; Engelbrecht, Andries P.: A parameter-free particle swarm optimization algorithm using performance classifiers (2019)
  7. Luo, Jie; Chen, Huiling; Heidari, Ali Asghar; Xu, Yueting; Zhang, Qian; Li, Chengye: Multi-strategy boosted mutative whale-inspired optimization approaches (2019)
  8. Chen, Xu; Xu, Bin; Yu, Kunjie; Du, Wenli: Teaching-learning-based optimization with learning enthusiasm mechanism and its application in chemical engineering (2018)
  9. Elkhechafi, Mariam; Hachimi, Hanaa; Elkettani, Youssfi: A new hybrid Cuckoo search and firefly optimization (2018)
  10. Fan, Qinqin; Yan, Xuefeng; Zhang, Yilian: Auto-selection mechanism of differential evolution algorithm variants and its application (2018)
  11. Long, Wen; Jiao, Jianjun; Liang, Ximing; Tang, Mingzhu: Inspired grey wolf optimizer for solving large-scale function optimization problems (2018)
  12. Xu, Shengguan; Chen, Hongquan: Nash game based efficient global optimization for large-scale design problems (2018)
  13. Zhang, Ming; Tian, Na; Palade, Vasile; Ji, Zhicheng; Wang, Yan: Cellular artificial bee colony algorithm with Gaussian distribution (2018)
  14. Biswas, Anupam; Biswas, Bhaskar: Analyzing evolutionary optimization and community detection algorithms using regression line dominance (2017)
  15. Cao, Zijian; Wang, Lei: An optimization algorithm inspired by the phase transition phenomenon for global optimization problems with continuous variables (2017)
  16. Rakhshani, Hojjat; Rahati, Amin: Intelligent multiple search strategy cuckoo algorithm for numerical and engineering optimization problems (2017)
  17. Vinkó, Tamás; Gelle, Kitti: Basin hopping networks of continuous global optimization problems (2017)
  18. Wang, Danping; Hu, Kunyuan; Ma, Lianbo; He, Maowei; Chen, Hanning: Multispecies coevolution particle swarm optimization based on previous search history (2017)
  19. Wang, Ling; An, Lu; Pi, Jiaxing; Fei, Minrui; Pardalos, Panos M.: A diverse human learning optimization algorithm (2017)
  20. Zhao, Fuqing; Shao, Zhongshi; Wang, Junbiao; Zhang, Chuck: A hybrid optimization algorithm based on chaotic differential evolution and estimation of distribution (2017)

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