How to cite this paper
Mousavi, S & Mirinezhad, S. (2022). Weevil damage optimization algorithm and its applications.Journal of Future Sustainability, 2(4), 133-144.
Refrences
Abdel-Baky, N. F., Aldeghairi, M. A., Motawei, M. I., Al-Shuraym, L. A., Al-Nujiban, A. A., Alharbi, M., & Rehan, M. (2022). Genetic Diversity of Palm Weevils, Rhynchophorus Species (Coleoptera: Curculionidae) by Mitochondrial COI Gene Sequences Declares a New Species, R. bilineatus in Qassim, Saudi Arabia. Arabian Journal for Science and Engineering, 1-18.
Abdel-Basset, M., Abdel-Fatah, L., & Sangaiah, A. K. (2018). Metaheuristic algorithms: A comprehensive review. Computational intelligence for multimedia big data on the cloud with engineering applications, 185-231.
Atashpaz-Gargari, E., & Lucas, C. (2007). Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. 2007 IEEE Congress on Evolutionary Computation, 4661-4667.
Castleman, K. R. (1996). Digital image processing. Prentice Hall Press.
Ekici, A. (2022). Variable-sized bin packing problem with conflicts and item fragmentation. Computers & Industrial Engineering, 163, 107844.
Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: harmony search. Simula-tion, 76(2), 60-68.
Jamil, M., Yang, X. S., & Zepernick, H. J. (2013). Test functions for global optimization: a comprehensive survey. Swarm intelligence and Bio-inspired Computation, 193-222.
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of ICNN'95-International Conference on Neural Networks, 4, 1942-1948.
Khan, A. T., Cao, X., Brajevic, I., Stanimirovic, P. S., Katsikis, V. N., & Li, S. (2022). Non-linear Activated Beetle An-tennae Search: A novel technique for non-convex tax-aware portfolio optimization problem. Expert Systems with Applications, 197, 116631.
Mitchell, M. (1998). An introduction to genetic algorithms. MIT press.
Mousavi, S. M. H., & Ilanloo, A. (2022, March). Seven Staged Identity Recognition System Using Kinect V. 2 Sensor. In 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) (pp. 1-7). IEEE.
Mousavi, S. M. H., & Mosavi, S. M. H. (2021, October). Automatic Infrared-Based Volume and Mass Estimation Sys-tem for Agricultural Products: Along with Major Geometrical Properties. In 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE) (pp. 140-149). IEEE.
Mousavi, S. M. H., & Mosavi, S. M. H. (2022, March). A New Edge and Pixel-Based Image Quality Assessment Metric for Colour and Depth Images. In 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) (pp. 1-11). IEEE.
Mousavi, S. M. H., MiriNezhad, S. Y., & Dezfoulian, M. H. (2017, October). Galaxy gravity optimization (GGO) an al-gorithm for optimization, inspired by comets life cycle. In 2017 Artificial Intelligence and Signal Processing Con-ference (AISP) (pp. 306-315). IEEE.
Rachih, H., Mhada, F., & Chiheb, R. (2022). Simulation optimization of an inventory control model for a reverse logis-tics system. Decision Science Letters, 11(1), 43-54.
Reda, M., Onsy, A., Elhosseini, M. A., Haikal, A. Y., & Badawy, M. (2022). A discrete variant of cuckoo search algo-rithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse. Knowledge-Based Systems, 252, 109290.
Rehman, G., & Mamoon-ur-Rashid, M. (2022). Evaluation of entomopathogenic nematodes against red palm weevil, Rhynchophorus ferrugineus (Olivier)(Coleoptera: Curculionidae). Insects, 13(8), 733.
Salhi, S., & Thompson, J. (2022). An Overview of Heuristics and Metaheuristics. The Palgrave Handbook of Operations Research, 353-403.
Storn, R., & Price, K. (1997). Differential evolution–a simple and efficient heuristic for global optimization over con-tinuous spaces. Journal of global optimization, 11(4), 341-359.
Thulasiraman, K. (2016). Handbook of graph theory, combinatorial optimization, and algorithms (Vol. 34). S. Arumu-gam, A. Brandstädt, & T. Nishizeki (Eds.). CRC Press.
Woeginger, G. J. (2003). Exact algorithms for NP-hard problems: A survey. In Combinatorial optimization—eureka, you shrink! (pp. 185-207). Springer, Berlin, Heidelberg.
Yang, X.-S. (2010). Nature-inspired metaheuristic algorithms. Luniver Press.
Yao, Y., & Zeilberger, D. (2022). Numerical and symbolic studies of the peaceable queens problem. Experimental Mathematics, 31(1), 269-279.
Yuan, G., & Yang, W. (2019). Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy, 183, 926-935.
Zhan, Z. H., Shi, L., Tan, K. C., & Zhang, J. (2022). A survey on evolutionary computation for complex continuous op-timization. Artificial Intelligence Review, 55(1), 59-110.
Abdel-Basset, M., Abdel-Fatah, L., & Sangaiah, A. K. (2018). Metaheuristic algorithms: A comprehensive review. Computational intelligence for multimedia big data on the cloud with engineering applications, 185-231.
Atashpaz-Gargari, E., & Lucas, C. (2007). Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. 2007 IEEE Congress on Evolutionary Computation, 4661-4667.
Castleman, K. R. (1996). Digital image processing. Prentice Hall Press.
Ekici, A. (2022). Variable-sized bin packing problem with conflicts and item fragmentation. Computers & Industrial Engineering, 163, 107844.
Geem, Z. W., Kim, J. H., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: harmony search. Simula-tion, 76(2), 60-68.
Jamil, M., Yang, X. S., & Zepernick, H. J. (2013). Test functions for global optimization: a comprehensive survey. Swarm intelligence and Bio-inspired Computation, 193-222.
Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. Proceedings of ICNN'95-International Conference on Neural Networks, 4, 1942-1948.
Khan, A. T., Cao, X., Brajevic, I., Stanimirovic, P. S., Katsikis, V. N., & Li, S. (2022). Non-linear Activated Beetle An-tennae Search: A novel technique for non-convex tax-aware portfolio optimization problem. Expert Systems with Applications, 197, 116631.
Mitchell, M. (1998). An introduction to genetic algorithms. MIT press.
Mousavi, S. M. H., & Ilanloo, A. (2022, March). Seven Staged Identity Recognition System Using Kinect V. 2 Sensor. In 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) (pp. 1-7). IEEE.
Mousavi, S. M. H., & Mosavi, S. M. H. (2021, October). Automatic Infrared-Based Volume and Mass Estimation Sys-tem for Agricultural Products: Along with Major Geometrical Properties. In 2021 11th International Conference on Computer Engineering and Knowledge (ICCKE) (pp. 140-149). IEEE.
Mousavi, S. M. H., & Mosavi, S. M. H. (2022, March). A New Edge and Pixel-Based Image Quality Assessment Metric for Colour and Depth Images. In 2022 9th Iranian Joint Congress on Fuzzy and Intelligent Systems (CFIS) (pp. 1-11). IEEE.
Mousavi, S. M. H., MiriNezhad, S. Y., & Dezfoulian, M. H. (2017, October). Galaxy gravity optimization (GGO) an al-gorithm for optimization, inspired by comets life cycle. In 2017 Artificial Intelligence and Signal Processing Con-ference (AISP) (pp. 306-315). IEEE.
Rachih, H., Mhada, F., & Chiheb, R. (2022). Simulation optimization of an inventory control model for a reverse logis-tics system. Decision Science Letters, 11(1), 43-54.
Reda, M., Onsy, A., Elhosseini, M. A., Haikal, A. Y., & Badawy, M. (2022). A discrete variant of cuckoo search algo-rithm to solve the Travelling Salesman Problem and path planning for autonomous trolley inside warehouse. Knowledge-Based Systems, 252, 109290.
Rehman, G., & Mamoon-ur-Rashid, M. (2022). Evaluation of entomopathogenic nematodes against red palm weevil, Rhynchophorus ferrugineus (Olivier)(Coleoptera: Curculionidae). Insects, 13(8), 733.
Salhi, S., & Thompson, J. (2022). An Overview of Heuristics and Metaheuristics. The Palgrave Handbook of Operations Research, 353-403.
Storn, R., & Price, K. (1997). Differential evolution–a simple and efficient heuristic for global optimization over con-tinuous spaces. Journal of global optimization, 11(4), 341-359.
Thulasiraman, K. (2016). Handbook of graph theory, combinatorial optimization, and algorithms (Vol. 34). S. Arumu-gam, A. Brandstädt, & T. Nishizeki (Eds.). CRC Press.
Woeginger, G. J. (2003). Exact algorithms for NP-hard problems: A survey. In Combinatorial optimization—eureka, you shrink! (pp. 185-207). Springer, Berlin, Heidelberg.
Yang, X.-S. (2010). Nature-inspired metaheuristic algorithms. Luniver Press.
Yao, Y., & Zeilberger, D. (2022). Numerical and symbolic studies of the peaceable queens problem. Experimental Mathematics, 31(1), 269-279.
Yuan, G., & Yang, W. (2019). Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA). Energy, 183, 926-935.
Zhan, Z. H., Shi, L., Tan, K. C., & Zhang, J. (2022). A survey on evolutionary computation for complex continuous op-timization. Artificial Intelligence Review, 55(1), 59-110.