WebKeywords: Shuffled frog leaping algorithm; TSP; mutation operator; local search 0. Introduction Shuffled frog leaping algorithm is proposed by Muzaffar Eusuff and Kevin Lansey on 2000 year, it is swarm a intelligence computation optimization algorithm [1]. It is used to solve discrete combinatorial optimization problem. WebJan 5, 2024 · Proposed by Eusuff and Lansey [19], the Shuffled Frog-Leaping Algorithm (SFLA) is an evolutionary population-based metaheuristic. It employs a swarm of frogs to …
Application of Shuffled Frog Leaping Algorithm to an …
WebFeb 27, 2024 · An intelligent robust controller, which combines a shuffled frog-leaping algorithm (SFLA) and an H∞ control strategy, is designed for a semi-active control system with magnetorheological (MR) dampers to reduce seismic responses of structures. ... Eusuff, MM, Lansey, KE ... WebIn this study, two metaheuristic approaches, shuffled frog leaping algorithm (SFLA) and ant colony optimization (ACO) have been hybridized. In industry, the CAM softwares are employed for minimization of non productive tool travel time and it is considered that the path obtained by using the CAM softwares is the optimized path. oxford assessment test
A novel meta-heuristic optimization algorithm Proceedings of the …
WebDec 6, 2016 · Shuffled frog leaping algorithm (SFLA) is another meta-heuristic swarm intelligence algorithm inspired by biotic community, and in particular, by those biological … WebJan 24, 2024 · Shuffled Frog Leaping Algorithm (SFLA) is one of the most widespread algorithms. It was developed by Eusuff and Lansey in 2006. SFLA is a population-based … WebA novel meta-heuristic optimization algorithm: current search. Authors: Anusorn Sakulin. Department of Electrical Engineering, Faculty of Engineering, South-East Asia University, Bangkok, Thailand ... oxford assessing fairbanks ak