Analytical Assessment of Nature-Inspired Metaheuristic Algorithms to Elucidate Assembly Line Task Scheduling Problem

Lohi, Shantanu; Jaiswal, Ajay A.; Gorewar, Harish V.; Lohi, Snehal A.

doi:10.1007/978-981-13-7166-0_21

Cited by 9 publications

(1 citation statement)

References 18 publications

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“…20 The CS algorithm reaches optimum or near-optimum solutions in less time than many other similar algorithms. Like population-depended algorithms, the CS algorithm contains a few drawbacks, 21 such as slower convergence velocity and simply getting stuck in local optima for a few intricate issues. 22 Therefore, we have attempted to combine cuckoo birds' real-life behaviors with GA operators, like selection, crossover, and mutation, to develop a hybrid GA and CS (CS-GA).…”

Section: Introductionmentioning

confidence: 99%

A cloud database route scheduling method using a hybrid optimization algorithm

Baghi

Navimipour

2023

Int J Communication

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Cloud computing has appeared as a technology allowing a company to employ computing resources such as applications, software, and hardware to calculate over the Internet. Scholars have paid great attention to cloud computing because of its cutting-edge availability, cost decrement, and boundless applications. A cloud database is a data storage site on the web where the optimal path is spotted to access the needed database. So, placing the ideal path to a database is crucial. The cloud database defined the scheduling problem to choose the perfect route. Cloud database path scheduling is a multifaceted procedure consisting of congestion control, routing list, and network flow distribution. It has a postponement in searching for the needed source route from the cloud database. Offering numerous infinite resources with the growing database workload is an NP-Hard optimization problem where the query request needs optimal schedules to respond to the required services. So, we have used a hybrid cuckoo search (CS) and genetic algorithm (GA), motivated by a social bird's phenomenon, to solve this problem. Integrating genetic operators has dramatically enhanced the balance between the capability of searching and utilization.

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Section: Introductionmentioning

confidence: 99%