An Improved Farmland Fertility Algorithm with Hyper-Heuristic Approach for Solving Travelling Salesman Problem

• Published in: Computer modeling in engineering & sciences Vol. 135; no. 3; pp. 1981 - 2006
• Main Authors: Soleimanian Gharehchopogh, Farhad, Abdollahzadeh, Benyamin, Arasteh, Bahman
• Format: Journal Article
• Language: English
• Published: Henderson Tech Science Press 2023
• Subjects: Agricultural land; Agriculture; Algorithms; Cities; Engineering; Heuristic; Heuristic methods; Methods; Neighborhoods; Optimization algorithms; Soil fertility; Traveling salesman problem
• ISSN: 1526-1506; 1526-1492; 1526-1506
• DOI: 10.32604/cmes.2023.024172

Travelling Salesman Problem (TSP) is a discrete hybrid optimization problem considered NP-hard. TSP aims to discover the shortest Hamilton route that visits each city precisely once and then returns to the starting point, making it the shortest route feasible. This paper employed a Farmland Fertility Algorithm (FFA) inspired by agricultural land fertility and a hyper-heuristic technique based on the Modified Choice Function (MCF). The neighborhood search operator can use this strategy to automatically select the best heuristic method for making the best decision. Lin-Kernighan (LK) local search has been incorporated to increase the efficiency and performance of this suggested approach. 71 TSPLIB datasets have been compared with different algorithms to prove the proposed algorithm’s performance and efficiency. Simulation results indicated that the proposed algorithm outperforms comparable methods of average mean computation time, average percentage deviation (PDav), and tour length.