A Genetic Algorithm Approach for the TV Self-Promotion Assignment Problem

• Tipo: Capítulo ou Parte de Livro
• Data: 2009

Autores

Paulo A. Pereira (Autor) Outra; Fernando A.C.C. Fontes (Autor) FEP; Dalila B.M.M. Fontes (Autor) FEP

Livro

Título: Numerical Analysis And Applied Mathematics

Páginas: 1378-1381

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Classificação Científica

FOS: Ciências sociais > Economia e gestão

Outras Informações

ID Authenticus: P-003-RGG

DOI: 10.1063/1.3241343

Abstract (EN): We report on the development of a Genetic Algorithm (GA), which has been integrated into a Decision Support System to plan the best assignment of the weekly self-promotion space for a TV station. The problem addressed consists on deciding which shows to advertise and when such that the number of viewers, of an intended group or target, is maximized. The GA proposed incorporates a greedy heuristic to find good initial solutions. These solutions, as well as the solutions later obtained through the use of the GA, go then through a repair procedure. This is used with two objectives, which are addressed in turn. Firstly, it checks the solution feasibility and if unfeasible it is fixed by removing some shows. Secondly, it tries to improve the solution by adding some extra shows. Since the problem faced by the commercial TV station is too big and has too many features it cannot be solved exactly. Therefore, in order to test the quality of the solutions provided by the proposed GA we have randomly generated some smaller problem instances. For these problems we have obtained solutions on average within 1% of the optimal solution value.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Notas: International Conference on Numerical Analysis and Applied Mathematics, SEP 18-22, 2009, ISBN 978-0-7354-0709-1

Nº de páginas: 4