Special Issue on "Nature Inspired Problem-Solving"

Information Sciences

Volumn 178, Issue 15, 2008, Pages 2983-2984

  Tang, Ke ^a   Yao, Xin ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

EID: 44849087398     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.05.027     Document Type: Editorial

References (13)

1. He J., and Yao X. Drift analysis and average time complexity of evolutionary algorithms. Artificial Intelligence 127 1 (2001) 57-85
2. He J., and Yao X. From an individual to a population: an analysis of the first hitting time of population-based evolutionary algorithms. IEEE Transactions on Evolutionary Computation 6 5 (2002) 495-511
3. He J., and Yao X. Towards an analytic framework for analysing the computation time of evolutionary algorithms. Artificial Intelligence 145 1-2 (2003) 59-97
4. He J., and Yao X. A study of drift analysis for estimating computation time of evolutionary algorithms. Natural Computing 3 1 (2004) 21-35
5. Z. Yang, K. Tang, X. Yao, Large scale evolutionary optimization using cooperative coevolution, Information Sciences, this issue.
6. W. Dong, X. Yao, Unified eigen analysis on multivariate Gaussian based estimation of distribution algorithms, Information Sciences, this issue.
7. W. Dong, X. Yao, Covariance matrix repairing in Gaussian based EDAs, in: Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC'07), Singapore, 25-28 September, 2007, pp. 415-422.
8. S. Powers, J. He, A hybrid artificial immune system and self organising map for network intrusion detection, Information Sciences, this issue.
9. M. Zhang, W. Luo, X. Wang, Differential evolution with dynamic stochastic selection for constrained optimization, Information Sciences, this issue.
10. Runarsson T.P., and Yao X. Stochastic ranking for constrained evolutionary optimization. IEEE Transactions on Evolutionary Computation 4 3 (2000) 284-294
11. A. Arcuri, X. Yao, Search based software testing of object-oriented containers, Information Sciences, this issue.
12. W. Du, B. Li, Multi-strategy ensemble particle swarm optimization for dynamic optimization, Information Sciences, this issue.
13. Yao X., Liu Y., and Lin G. Evolutionary programming made faster. IEEE Transactions on Evolutionary Computation 3 2 (1999) 82-102