Harmony Search for Generalized Orienteering Problem: Best Touring in China

• Published in: Advances in Natural Computation pp. 741 - 750
• Main Authors: Geem, Zong Woo, Tseng, Chung-Li, Park, Yongjin
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Harmony Memory; Harmony Search; Harmony Search Algorithm; Orienteering Problem; Travel Salesperson Problem; Search problem; Travelling salesman problem; Soft computing; Neural network; Optimization; Search algorithm; Biomimetics; Music; NP hard problem; Analogy; Incomplete information; Route; Mathematical programming
• ISBN: 9783540283201; 354028320X; 3540283234; 9783540283232
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11539902_91

In order to overcome the drawbacks of mathematical optimization techniques, soft computing algorithms have been vigorously introduced during the past decade. However, there are still some possibilities of devising new algorithms based on analogies with natural phenomena. A nature-inspired algorithm, mimicking the improvisation process of music players, has been recently developed and named Harmony Search (HS). The algorithm has been successfully applied to various engineering optimization problems. In this paper, the HS was applied to a TSP-like NP-hard Generalized Orienteering Problem (GOP) which is to find the utmost route under the total distance limit while satisfying multiple goals. Example area of the GOP is eastern part of China. The results of HS showed that the algorithm could find good solutions when compared to those of artificial neural network.