Overview: Open-source MATLAB libraries help you extend MATLAB’s core functionality with advanced tools for optimization, ...

Abstract: The MATLAB toolbox YALMIP is introduced. It is described how YALMIP can be used to model and solve optimization problems typically occurring in systems and control theory. In this paper, ...

Change is the only constant in today’s rapidly evolving digital marketing landscape. Keeping up with the latest innovations isn’t just a choice – it’s a necessity for survival. Generative engine ...

Computer Algebra Systems have been extensively used in higher education. The reasons are many e.g., visualize mathematical problems, correlate real-world problems on a conceptual level, are flexible, ...

Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...

Motion planning and Navigation of AGV/AMR：matlab implementation of Dijkstra, A*, Theta*, JPS, D*, LPA*, D* Lite, RRT, RRT*, RRT-Connect, Informed RRT*, ACO, Voronoi ...

An online collection called DIRECTGOLib stands as DIRECT Global Optimization test problems Library. The library presents a valuable collection of practical and test problems involving continuous ...

Abstract: Particle swarm optimization (PSO) is rapidly gaining popularity but an official implementation of the PSO algorithm in Matlab is yet to be released. In this paper, we present a generic ...

1 Faculty of Science, University of Maroua, Maroua, Cameroon. 2 Ecole Nationale Superieure Polytechnique, University of Maroua, Maroua, Cameroon. The purpose of this paper is to demonstrate the ...

"What's the difference between mathematical optimization and machine learning?" This is a question that — as the CEO of a mathematical optimization software company — I get asked all the time.