Soft Computing Aims and scope Submit manuscript Per Kristian Lehre & Xin Yao 208 Accesses 29 Citations Explore all metrics Abstract Unique input–output (UIO) sequences have important applications in conformance testing of finite state machines (FSMs). Previous experimental and theoretical research ...
Soft Computing - A Fusion of Foundations, Methodologies & ApplicationsG. Pavai and T. V. Geetha, "New crossover operators using dominance and co-dominance principles for faster convergence of genetic algorithms," Soft Computing, pp. 1-26, 2018....
[6]Rhydian Lewis and Ben Paechter. 2004. New crossover operators for timetabling with evolutionary algorithms. In Proceedings of 5th International Conference on Recent Advances in Soft Computing (RASC’04). 189–195. [7]Alfonsas Misevicius and Bronislovas Kilda. 2005. Comparison of crossover op...
S Hublikar,NSV Shet - 《International Journal of Modeling Simulation & Scientific Computing》 被引量: 0发表: 2024年 Fitness landscapes of buffer allocation problem for production lines with unreliable machines We carry out computational experiments with local search and genetic algorithms in order to...
CW Chao,CJ Liao - 《Applied Soft Computing》 被引量: 14发表: 2012年 A discrete differential evolution algorithm for single machine total weighted tardiness problem with sequence dependent setup times In this paper, a discrete differential evolution algorithm with the reference local search is presente...
doi:10.1080/10798587.2008.10643239álvarez, José LuisGegúndez, Manuel E.Arjona, José LuisTaylor & FrancisIntelligent Automation & Soft Computing
Note1: Before using NXP-MCUBootUtility, you need to download HAB Code Signing Tool from NXP website,upzip it and put it in the \NXP-MCUBootUtility\tools\cst\ directory, then modify the code to enable AES function and rebuild \NXP-MCUBootUtility\tools\cst\mingw32\bin\cst.exe, or HAB...
About this chapter Cite this chapter Zhang, J., Chung, H.S.H., Lo, A.W.L., Hu, B.J. (2005). Fuzzy Knowledge Incorporation in Crossover and Mutation. In: Jin, Y. (eds) Knowledge Incorporation in Evolutionary Computation. Studies in Fuzziness and Soft Computing, vol 167. Springer, ...
In this connection, we propose a new algorithm called ACBFO-Fisher. The proposed ACBFOA is used for finding optimal principal components for dimension reduction in linear discriminant analysis (LDA) based face recognition. Three well-known face databases, FERET, YALE and UMIST, are considered for...
Singh, ShituChand Bansal, JagdishGrey wolf optimizer (GWO) is a relatively new optimizer in the field of swarm intelligence. It is based on the leadership hierarchy and hunting behavior of grey wolves in nature. Due to less number of parameters and ease of implementation, it has gained signif...