Desenvolvimento de um protótipo de software para geração de grade de programação de comerciais aplicável à TV Digital/IPTV utilizando Metaheurísticas

Abstract

This paper shows the development of a software prototype using metaheuristics via a memetic algorithm to generation of the Grid Programming of ads interventions applied to Digital TV and IPTV. This problem is presented as a timeline in a TV programing with intervals of interventions where ads groups should be displayed. The organization of these interventions ads groups follow a set of requirements that must be optimized as: the rate of return, appropriateness to the target audience, and use of the bandwidth of the server, and also restrictions like: parental rating, number of views of each ad, time box of the intervention and fitness programming. In this context are considered the problems of Selection Parties and Timetabling for build the prototype and approach the solution using a memetic algorithm developed by applying the metaheuristic Genetic Algorithms and Tabu Search. The resulted was the generation of a computational tool that allows the insertion of ads management in grids programming, by obtaining good quality solutins.