COOPERATIVE game theoryENGINEERING designThis paper introduces the Golf Sport Inspired Search (GSIS) algorithm as an evolutionary search method for numerical optimization. Each solution is generated with the aid of the step-length and search direction. The step-length is determi...
15, the steps for solving an optimization problem are generally divided into mathematical modeling, algorithm designing, and solution analysis. First, common models for VNFPP are ordered from highest abstraction degree to lowest, which include the mathematical programming, probability, queue, graph, ...
Correspondence toHongsheng Qi Rights and permissions About this article Cite this article Xu, G., Chen, G. & Qi, H. Algorithm Design and Approximation Analysis on Distributed Robust Game.J Syst Sci Complex36, 480–499 (2023). https://doi.org/10.1007/s11424-023-1436-1 Download citation Rec...
matlablinear-programmingsensitivity-analysissimplex-algorithmmatlab-implementationslinear-optimizationsimplex-method UpdatedAug 13, 2019 MATLAB Python implementations of Simplex Method, Branch and Bound, Gomory's Cutting Plane Method, Iterative: Steepest Gradient Descent, Newton's Method ...
There often exist multiple equilibria in the algorithm results of metagame theory and conflict analysis, and some of the equilibria may be non-Pareto optimal or low stable. Thus, it is still a problem for decision-makers to choose among the equilibria. On the basis of the traditional meta...
space (I agree that the algorithm should be published in another book), and so on - even I personally feel that, It is a fallacy to describe the process quantity with the word "elimination", which relies too much on the analysis of time cross-section (but it is necessary at this time...
to revision and misrepresentation and have little direct effect on people. And in the days before writing existed, there were good alternatives; The concept of culture is too broad to be quantified and described in detail, and also difficult to be put into the category of individual analysis. ...
and "Numerical results of the mathematical functions". The complete statistical analysis is given in Section "Statistical Analysis", while the complexity analysis is conducted in Section "Computational complexity and cost analysis". The real-world problems of CEC are demonstrated in Section "Real-...
Machine learning evolved from pattern recognition and computational learning theory. Here, some essential concepts of machine learning are discussed as well as the frequently applied machine learning algorithms for smart data analysis. A learning algorithm takes a set of samples as an input named a ...
For example, Sun, Wang, and Wei (2017) suggested a filter-based gene selection algorithm based on the area under the curve (AUC) and gene complementarity analysis, known as feature selection with AUC-based variable complementarity. This algorithm adopted an effective heuristic search method to ...