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

• Type: Chapter or Part of a Book
• Date: 2009

Authors

Paulo A. Pereira (Author) Other; Fernando A.C.C. Fontes (Author) FEP; Dalila B.M.M. Fontes (Author) FEP

Book

Title: Numerical Analysis And Applied Mathematics

Pages: 1378-1381

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Scientific classification

FOS: Social sciences > Economics and Business

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

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

No. of pages: 4