Global optimization
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
A Study of Global Optimization Using Particle Swarms
Journal of Global Optimization
Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
Journal of Global Optimization
Firefly-Inspired Synchronization for Improved Dynamic Pricing in Online Markets
SASO '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems
Nature-Inspired Metaheuristic Algorithms
Nature-Inspired Metaheuristic Algorithms
Paper: The parallel genetic algorithm as function optimizer
Parallel Computing
The codebook design of image vector quantization based on the firefly algorithm
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
New inspirations in swarm intelligence: a survey
International Journal of Bio-Inspired Computation
Vector quantization using the firefly algorithm for image compression
Expert Systems with Applications: An International Journal
AMERICAN-MATH'12/CEA'12 Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics
Multiobjective optimization of irreversible thermal engine using mutable smart bee algorithm
Applied Computational Intelligence and Soft Computing
Optimal design of constraint engineering systems: application of mutable smart bee algorithm
International Journal of Bio-Inspired Computation
International Journal of Computational Science and Engineering
A firefly metaheuristic structural size and shape optimisation with natural frequency constraints
International Journal of Metaheuristics
Computers & Mathematics with Applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The paper provides an insight into the improved novel metaheuristics of the Firefly Algorithm for constrained continuous optimization tasks. The presented technique is inspired by social behavior of fireflies and the phenomenon of bioluminescent communication. The first part of the paper is devoted to the detailed description of the existing algorithm. Then some suggestions for extending the simple scheme of the technique under consideration are presented. Subsequent sections concentrate on the performed experimental parameter studies and a comparison with existing Particle Swarm Optimization strategy based on existing benchmark instances. Finally some concluding remarks on possible algorithm extensions are given, as well as some properties of the presented approach and comments on its performance in the constrained continuous optimization tasks.