Linear programming and network flows

TL;DR: In this paper, the authors present a literature review, a critical analysis, and a proposal for incorporating the radiality constraints in mathematical models of optimization problems for radial distribution systems, which can be considered in a simple and efficient way.

TL;DR: Several optimization techniques have been applied to the solution of the thermal unit commitment problem as discussed by the authors, ranging from heuristics such as complete enumeration to the more sophisticated ones such as augmented LaGrangian.

TL;DR: A hybrid Taguchi-genetic algorithm (HTGA) is applied to solve the problem of tuning both network structure and parameters of a feedforward neural network and can obtain better results than the existing method reported recently in the literature.

TL;DR: This paper surveys applications of combinatorial optimization to multicast routing and discusses the most important problems considered in this area, as well as their models.