The problem of partitioning different landcover regions from multispectral satellite images is treated as one of designing a classifier that can distinguish the pixels belonging to the different classes, given their intensity values in the different bands. Multi-objective genetic algorithm is used for ...
About this article Cite this article Sharma, R., Singh, A., Kumar, P.et al.Genetic Algorithm–Aided Deep Feature Selection for Improved Rice Disease Classification.Oper. Res. Forum6, 7 (2025). https://doi.org/10.1007/s43069-024-00400-1...
Burke, E. K., Newall, J. P. and Weare, R. F., 1996, A memetic algorithm for university exam timetabling, in:The Practice and Theory of Automated Timetabling I, E. K. Burke and P. Ross, eds, Lecture Notes in Computer Science, Vol. 1153, pp. 241–250, Springer, Berlin. Google ...
This relationship was captured by the nonlinear machine learning models within the least-cost transect analysis algorithm but not the linear regression model of the maximum likelihood population effects method and may highlight a difference in capability between the two methods43. Snow days outperformed...
Keywords: Fuzzy Classifier, If-then-Rules, Membership function, Genetic Algorithm. 1. Introduction Fuzzy Logic has been successfully applied in solving classification problems where boundaries between classes are not well defined [1,2]. Typical fuzzy classifiers [27] consist of interpretable if-then ...
Fully functional Pokerbot that works on PartyPoker, PokerStars and GGPoker, scraping tables with Open-CV (adaptable via gui) or neural network and making decisions based on a genetic algorithm and montecarlo simulation for poker equity calculation. Binaries can be downloaded with this link: www....
This depth impacts on the computational complexity and the ability of the GP algorithm to find the optimal solution. The function set defines the set of functions that can be used in the GP tree as non-leaf nodes. Common functions in the function set include arithmetic operations such as ...
a multi-objective trajectory planning approach based on an improved elitist non-dominated sorting genetic algorithm (INSGA-II) is proposed. Trajectory function is planned with a new composite polynomial that by combining of quintic polynomials with cubic Bezier curves. Then, an INSGA-II, by introdu...
Soft Computing, 2015, 19(6):1477-1495.S. Wen, S. Yuan, B. Mu, and H. Li, "Robust PCA-based genetic algorithm for solving CNOP," in International Conference on Intelligent Computing, vol. 9225 of Lecture Notes in Computer Science, pp. 597-606, Springer International Publishing, 2015....
Genetic programming (GP) is a popular and powerful optimization algorithm that has a wide range of applications, such as time series prediction, classifica