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A Novel Hybrid Meta-Heuristic Algorithm Based on the Cross-Entropy Method and Firefly Algorithm for Global Optimization. [PDF]
Entropy (Basel), 2019 Li G, Liu P, Le C, Zhou B.
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A Novel Hybrid Firefly Algorithm for Global Optimization. [PDF]
PLoS One, 2016 Zhang L, Liu L, Yang XS, Dai Y.
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Communications in Nonlinear Science and Numerical Simulation, 2013
A recently developed metaheuristic optimization algorithm, firefly algorithm (FA), mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies. In the present study, we will introduce chaos into FA so as to increase its global search mobility for robust global optimization.
A.H. Gandomi +3 more
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A recently developed metaheuristic optimization algorithm, firefly algorithm (FA), mimics the social behavior of fireflies based on the flashing and attraction characteristics of fireflies. In the present study, we will introduce chaos into FA so as to increase its global search mobility for robust global optimization.
A.H. Gandomi +3 more
openaire +3 more sources
Firefly algorithm with neighborhood attraction
Information Sciences, 2017Abstract Firefly algorithm (FA) is a new optimization technique based on swarm intelligence. It simulates the social behavior of fireflies. The search pattern of FA is determined by the attractions among fireflies, whereby a less bright firefly moves toward a brighter firefly.
Hui Wang +6 more
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Firefly algorithm existing leader fireflies
2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2016The community of human-beings, such as company and laboratory, is created as core on the leader of the community. In this study, we propose Firefly Algorithm existing leader fireflies. In our proposed FA, leader fireflies attract other fireflies within certain distance.
Masaki Takeuchi +3 more
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2014 International Conference on Parallel, Distributed and Grid Computing, 2014
In the standard firefly algorithm, every firefly has same parameter settings and its value changes from iteration to iteration. The solutions keeps on changing as the optima are approaching which results that it may fall into local optimum. Furthermore, the underlying strength of the algorithm lies in the attractiveness of less brighter firefly towards
Sankalap Arora +3 more
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In the standard firefly algorithm, every firefly has same parameter settings and its value changes from iteration to iteration. The solutions keeps on changing as the optima are approaching which results that it may fall into local optimum. Furthermore, the underlying strength of the algorithm lies in the attractiveness of less brighter firefly towards
Sankalap Arora +3 more
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ICCKE 2013, 2013
Firefly algorithm is one of the metaheuristic algorithms which are used to solve optimization problems. Firefly algorithm is such a population-based algorithm so that their group behavior and interaction result in a swarm Intelligence that is used to find the best and fittest firefly.
Mahdi Bidar, Hamidreza Rashidy Kanan
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Firefly algorithm is one of the metaheuristic algorithms which are used to solve optimization problems. Firefly algorithm is such a population-based algorithm so that their group behavior and interaction result in a swarm Intelligence that is used to find the best and fittest firefly.
Mahdi Bidar, Hamidreza Rashidy Kanan
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Firefly Algorithm for Structural Search
Journal of Chemical Theory and Computation, 2016The problem of computational structure prediction of materials is approached using the firefly (FF) algorithm. Starting from the chemical composition and optionally using prior knowledge of similar structures, the FF method is able to predict not only known stable structures but also a variety of novel competitive metastable structures.
Guillermo, Avendaño-Franco +1 more
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