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1
A Preliminary Study On Firefly Algorithm Approach For Travelling Salesman Problem
Published 2013“…This paper explores the use of one of swarm intelligence available, Firefly Algorithm in finding the optimal solution of the problem. …”
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2
Hybrid of firefly algorithm and pattern search for solving optimization problems
Published 2018“…Firefly algorithm (FA) is a newly introduced meta-heuristic, nature-inspired, stochastic algorithm for solving various types of optimization problems. …”
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3
Spread enhancement for firefly algorithm with application to control mechanism of exoskeleton system
Published 2019“…Firefly algorithm (FA) is a swarm intelligence based algorithm for global optimization and has widely been used in solving problems in many areas. …”
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An Experimental Study Of Combinational Logic Circuit Minimization Using Firefly Algorithm
Published 2014“…Combinatorial logic circuit minimization is usualy done using Karnaugh’s Map or Bolean equation. This paper presents an aplication of Firefly Algorithm to design combinational logic circuit in which the objective function is to minimize the total number of gates used. …”
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5
Optimal power flow using hybrid firefly and particle swarm optimization algorithm
Published 2020“…In this paper, a novel, effective meta-heuristic, population-based Hybrid Firefly Particle Swarm Optimization (HFPSO) algorithm is applied to solve different non-linear and convex optimal power flow (OPF) problems. …”
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6
Integrated bisect K-means and firefly algorithm for hierarchical text clustering
Published 2016“…At each level of the proposed Bisect FA, firefly algorithm works to produce the best clusters. …”
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7
Solution of optimal power flow using non-dominated sorting multi-objective based hybrid firefly and particle swarm optimization algorithm
Published 2020“…Pareto optimal front was obtained by using non-dominated sorting and crowding distance methods. …”
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8
Document clustering based on firefly algorithm
Published 2015“…Document clustering is widely used in Information Retrieval however, existing clustering techniques suffer from local optima problem in determining the k number of clusters.Various efforts have been put to address such drawback and this includes the utilization of swarm-based algorithms such as particle swarm optimization and Ant Colony Optimization.This study explores the adaptation of another swarm algorithm which is the Firefly Algorithm (FA) in text clustering.We present two variants of FA; Weight- based Firefly Algorithm (WFA) and Weight-based Firefly Algorithm II (WFAII).The difference between the two algorithms is that the WFAII, includes a more restricted condition in determining members of a cluster.The proposed FA methods are later evaluated using the 20Newsgroups dataset.Experimental results on the quality of clustering between the two FA variants are presented and are later compared against the one produced by particle swarm optimization, K-means and the hybrid of FA and -K-means. …”
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9
Mutable Composite Firefly Algorithm for Microarray-Based Cancer Classification
Published 2024“…In addition, the local optima issue is overcome by the population reinitialisation method. The proposed algorithm, named the CFS-Mutable Composite Firefly Algorithm (CFS-MCFA), is evaluated based on two metrics, namely classification accuracy and genes subset size, using a Support Vector Machine (SVM) classifier. …”
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10
Weight-based firefly algorithm for document clustering
Published 2013“…In this paper, we introduce the utilization of a new meta-heuristics algorithm, namely the Firefly algorithm (FA) to increase solution diversity. …”
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11
Data dissemination in VANETs using clustering and probabilistic forwarding based on adaptive jumping multi-objective firefly optimization
Published 2022“…For this purpose, firefly was selected, which is a type of meta-heuristic search algorithm. …”
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12
Firefly algorithm: Minimizing cost on single-level lot-sizing problem / Siti Hafawati Jamaluddin ... [et al.]
Published 2018“…As a conclusion, firefly algorithm is applicable to use in minimizing production cost on single-level lot-sizing problem since the result obtained gives the better solution compared to the exact solution.…”
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Optimization and control of hydro generation scheduling using hybrid firefly algorithm and particle swarm optimization techniques
Published 2018“…To deal with these problems, this thesis introduces three approved intelligent controllers for hydropower generation. Firstly, a hybrid algorithm namely firefly particle swarm optimization (FPSO) and series division method (SDM) based on the practical swarm optimization and the firefly algorithm is proposed. …”
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15
Optimisation of energy efficient hybrid flowshop scheduling problem using firefly algorithm
Published 2020“…The EE-HFS optimisation has been conducted using Firefly Algorithm (FA) on 12 benchmark HFS problem. …”
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16
Firefly algorithm for optimal sizing of Standalone Photovoltaic System / Nurizzati Abdul Aziz
Published 2016“…Therefore, optimization methods are often used in the sizing algorithms for such systems. This study presents the development of Firefly Algorithm-based Sizing Algorithm, known as FASA for sizing optimization of SAPV systems. …”
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Firefly algorithm for optimal sizing of stand-alone photovoltaic system / Nur Izzati Abdul Aziz
Published 2016“…Therefore, optimization methods are often used in the sizing algorithms for such systems. This study presents the development of firefly algorithm-based sizing algorithm, known as FASA for sizing optimization of SAPV systems. …”
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18
An Experimental Study Of Combinational Logic Circuit Minimization Using Firefly Algorithm
Published 2014“…Combinatorial logic circuit minimization is usually done using Karnaugh’s Map or Boolean equation. This paper presents an application of Firefly Algorithm to design combinational logic circuit in which the objective function is to minimize the total number of gates used. …”
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19
Firefly Algorithm for adaptive emergency evacuation center management
Published 2016“…Experimental analysis of a minimization problem was performed to compare the solutions produced by FA and the ones generated using Tabu Search. …”
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A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction
Published 2018“…Furthermore, the performance of the suggested robust firefly algorithm model is better than previously mentioned models in terms of speed and accuracy of prediction.…”
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