Margot NortheyJudi JewinskiPadhy, N.P., and Simon, S.P. (2015) soft computing with matlab programming, (book) oxford university press.Padhy NP, Simon SP. Soft computing with MATLAB Pro- gramming. New Delhi: Oxford University Press; 2015....
Soft Computing with MATLAB Programming, 1/e a. Kusters, Ulrich, "Matrix Programming Languages for Statistical Computing: A Comparison of GAUSS, MATLAB, and Ox," with Jens Peter Steffen, in: Faulbaum, F. und W. Bandilla (eds.), SoftStat'97, Stuttgart: Lucius & Lucius,... NP Padhy,SP...
As just one example, we recently used SoRoSim together with Global Optimization Toolbox and Parallel Computing Toolbox™ to find the optimal cable path and cable tension for a soft robot, minimizing the error in the manipulator end and middle point coordi...
2021). Indeed, each node of the supply chain network could be represented by an UAV and, therefore, it is possible to extend the 5G network equipping each UAV with a computing element and thanks to the virtualization of the physical resources, the network function virtualization (NFV) and mul...
Inthachot M, Supratid S (2007) A multi-subpopulation particle swarm optimization: a hybrid intelligent computing for function optimization. In: Third international conference on natural computation (icnc 2007) (vol 5, pp 679–684) Jadhav AN, Gomathi N (2018) Wgc: hybridization of exponential gr...
computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximation. Soft computing aims to surmount NP-complete problems, uses inexact methods to give useful but inexact answers to intractable problems, and also it is well suited for real world problems where ideal ...
exact computationswhere variables do not need to be given values in advance, as well asinfinite-precision numeric computations. Maple has world-leading algorithms that solve problems beyond the reach of any other software system, and efficient algorithms and tools forhigh performance computingand large...
As seen in Figure 12, the proposed path planning using SAC with HER always finds the shortest path for all simulation cases. For the result shown in Figure 12, it takes 0.1385 s on average computing the shortest path for a start point and goal point. This means that the proposed SAC-...
6. Conclusions In this paper, one of the soft computing methods, Support Vector Regression (SVR), was used to design a triple-band antenna with the desired resonance frequency and gain. The SVR model was utilized to obtain the optimal values for the geometric parameters of an antenna that ...
DewesoftX also takes advantage of all the modern CPU and GPU technologies like multi- and hyper-threading and DirectX to make complex mathematical calculations and rich visualizations smooth as silk. We offload complex computations to NVIDIA GPUs using the CUDA parallel computing platform which allows...