Abstract: Genetic programming approaches have previously been employed in the literature to evolve heuristics for various combinatorial optimisation problems. This paper presents a hyper-heuristic ...
EO is a template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. Evolutionary algorithms forms a family of ...
It can be used in any kind of .NET 6, .NET Standard, and .NET Framework apps, like ASP .NET MVC, ASP .NET Core, Blazor, Web Forms, UWP, Windows Forms, GTK#, Xamarin ...
Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...
Industrial and economic development primarily occurs in densely populated urban areas in Taiwan. The outbreak of war in such areas could have severe consequences. Disaster relief and homeland defense ...
In this study, we consider a security efficiency maximization problem in a multiple unmanned aerial vehicle (UAV)-aided system with mobile edge computing (MEC). Two kinds of UAVs, including multiple ...
Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters. However, there are ...
1 Department of Industrial and Production Engineering, Basaveshwar Engineering College, Bagalkot, India. 2 Basaveshwar Engineering College, Bagalkot, India. 3 Gogte Institute of Technology, Belagavi, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results