Improving Genetic Algorithm to Attain Better Routing Solutions for Real-World Water Line System

Author:

Mostafa Salama A.,Juman Z. A. M. S.,Nawi Nazri Mohd,Mahdin Hairulnizam,Mohammed Mazin Abed

Publisher

Springer International Publishing

Reference21 articles.

1. Alzyadat, T., Yamin, M., Chetty, G.: Genetic algorithms for the travelling salesman problem: a crossover comparison. Int. J. Inf. Technol. 12(1), 209–213 (2019). https://doi.org/10.1007/s41870-019-00377-9

2. Mohammed, M.A., Ghani, M.K.A., Obaid, O.I., Mostafa, S.A., Ahmad, M.S.: A review of genetic algorithm applications in solving vehicle routing problem. J. Eng. Appl. Sci. 12, 4267–4283 (2017)

3. Juneja, S.S., Saraswat, P., Singh, K., Sharma, J., Majumdar, R., Chowdhary, S.: Travelling salesman problem optimization using genetic algorithm. In: Amity International Conference on Artificial Intelligence (AICAI), pp. 264–268. IEEE, February 2019

4. Venkatraman, S., Sundhararajan, M.: Optimization for VLSI floorplanning problem by using hybrid ant colony optimization technique. Int. J. Pure Appl. Math. 115(6), 637–642 (2017)

5. Islam, A.S., Tanzim, M., Afreen, S., Rozario, G.: Evaluation of ant colony optimization algorithm compared to genetic algorithm, dynamic programming and branch and bound algorithm regarding travelling salesman problem. Glob. J. Comput. Sci. Technol. 19(3), 1–7 (2019)

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