@Article{cmes.2023.024172,
AUTHOR = {Farhad Soleimanian Gharehchopogh, Benyamin Abdollahzadeh, Bahman Arasteh},
TITLE = {An Improved Farmland Fertility Algorithm with Hyper-Heuristic Approach for Solving Travelling Salesman Problem},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {135},
YEAR = {2023},
NUMBER = {3},
PAGES = {1981--2006},
URL = {http://www.techscience.com/CMES/v135n3/50480},
ISSN = {1526-1506},
ABSTRACT = {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.},
DOI = {10.32604/cmes.2023.024172}
}