A HYBRID ALGORITHM USING FIREFLY AND CUCKOO SEARCH ALGORITHM FOR FLEXIBLE OPEN SHOP SCHEDULING PROBLEM
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2017, Vol 7, Issue 2
Abstract
In this paper presents the hybrid algorithm using firefly and a cuckoo search algorithm for flexible open shop scheduling problem. The flexible, open shop scheduling is known to be NP-hard. Cuckoo algorithm (CA) is one of the widely used techniques for constrained optimization. And it gave the best results compared to other algorithms. A disadvantage of cuckoo algorithm though is that they easily become trapped in the local minima. In this paper, a firefly algorithm (FA) is used with a cuckoo algorithm in order to avoid the local minima problem and to improve the best results. The proposed combined hybrid algorithm was compared with ACO (Ant Colony Optimization), GA (Genetic Algorithm) to prove the importance of the hybrid algorithm. It minimizes the make span time and the scheduling can be used in scientific computing.
Authors and Affiliations
N. KAMATCHI, D. SARAVANAN
Keywords
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- EP ID EP222592
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