An Improved Atomic Orbital Search Algorithm Utilizing Firefly Algorithm for Optimization Problems
محورهای موضوعی : Meta-heurestics
1 - دانشجو دکتری سازه، گروه مهندسی عمران، دانشگاه محقق اردبیلی، اردبیل، ایران
کلید واژه: Mathematical modelling, Numerical methods, Hybrid algorithm, Atomic Orbital Search algorithm, Firefly Algorithm, Engineering optimization,
چکیده مقاله :
The Atomic Orbital Search inspiration from the rules of quantum mechanics and Firefly Algorithm is a metaheuristic technique which is widely used for solving the optimization problems. Both algorithms collectively improved the performance of search. This article goals to optimize engineering design problems utilizing a new hybrid optimizer; AOS-FA (Atomic Orbital Search-Firefly Algorithm). Incorporating the FA methodology into the basic AOS framework has successfully addressedthe issue of local optima trap and significantly enhanced the quality of solutions generated by the algorithm. The FA algorithm is work on the combinatorial optimization and utilized as application of AOS algorithm. Hence, we merge these two algorithms and make a hybrid algorithm. The purpose of the suggested hybridization method was to promote the improvement of the exploration-exploitation manners of the AOS search. To analyse the viability of the suggested hybridized algorithm in real-world usages, it is studied for five constrained engineering design issues, and the performance was determined with other outstanding metaheuristics extracted from the publications.
The Atomic Orbital Search inspiration from the rules of quantum mechanics and Firefly Algorithm is a metaheuristic technique which is widely used for solving the optimization problems. Both algorithms collectively improved the performance of search. This article goals to optimize engineering design problems utilizing a new hybrid optimizer; AOS-FA (Atomic Orbital Search-Firefly Algorithm). Incorporating the FA methodology into the basic AOS framework has successfully addressedthe issue of local optima trap and significantly enhanced the quality of solutions generated by the algorithm. The FA algorithm is work on the combinatorial optimization and utilized as application of AOS algorithm. Hence, we merge these two algorithms and make a hybrid algorithm. The purpose of the suggested hybridization method was to promote the improvement of the exploration-exploitation manners of the AOS search. To analyse the viability of the suggested hybridized algorithm in real-world usages, it is studied for five constrained engineering design issues, and the performance was determined with other outstanding metaheuristics extracted from the publications.
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