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Firefly Algorithm: Recent Advances and Applications [PDF]
International Journal of Swarm Intelligence, 2013 Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse ...
He, Xingshi, Yang, Xin-She
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Modified Firefly Algorithm [PDF]
Journal of Applied Mathematics, 2012 Firefly algorithm is one of the new metaheuristic algorithms for optimization problems. The algorithm is inspired by the flashing behavior of fireflies.
Surafel Luleseged Tilahun +1 more
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Experiments with firefly algorithm [PDF]
, 2014 Firefly Algorithm (FA) is one of the recent swarm intelligence methods developed by Xin-She Yang in 2008 [12]. FA is a stochastic, nature-inspired, meta- heuristic algorithm that can be applied for solving the hardest optimization problems. The main goal
A.M.C. Rocha +7 more
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Greedy Firefly Algorithm for Optimizing Job Scheduling in IoT Grid Computing [PDF]
Sensors, 2022 The Internet of Things (IoT) is defined as interconnected digital and mechanical devices with intelligent and interactive data transmission features over a defined network.
Adil Yousif +6 more
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Firefly photinus search algorithm
Journal of King Saud University: Computer and Information Sciences, 2020 Firefly Algorithm (FA) is one of the new natural inspired optimization algorithms. It is inspired by the flashing behavior of the fireflies. Firefly algorithm, has some drawbacks such as getting trapped into several local optima, FA parameters are set ...
Waleed Alomoush +5 more
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Self-Adaptive Step Firefly Algorithm
Journal of Applied Mathematics, 2013 In the standard firefly algorithm, each firefly has the same step settings and its values decrease from iteration to iteration. Therefore, it may fall into the local optimum.
Shuhao Yu, Shanlin Yang, Shoubao Su
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Optimized parameters to tune I-PD control through firefly algorithm for heating operations of plastic injection molding [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 This research presents firefly algorithm optimization tuned integral plus proportional and derivative (I-PD) controller to control the temperature response model according to Tao Liu and Ke Yao and Furong Gao model.
Akekachai Pannawan +1 more
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An escalated convergent firefly algorithm
Journal of King Saud University: Computer and Information Sciences, 2022 Firefly algorithm is a powerfulalgorithm, however, it may show inferior convergence rate towards global optimum because the optimization process of the firefly algorithm depends upon on a random quantity that facilitates the fireflies to explore the ...
Sankalap Arora, Ranjit Kaur
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Automatic Data Clustering by Hybrid Enhanced Firefly and Particle Swarm Optimization Algorithms
Mathematics, 2022 Data clustering is a process of arranging similar data in different groups based on certain characteristics and properties, and each group is considered as a cluster.
Mandakini Behera +6 more
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A Novel Classifier based on Firefly Algorithm
Journal of King Saud University: Computer and Information Sciences, 2020 During the past decade, assigning objects to one of several predefined classes with higher accuracy has received considerable focus among researchers.
Emad Mohamed Mashhour +3 more
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