I would like to know why particle swarm optimization (PSO) or genetic algorithm (GA) got combined with firefly algorithm (FA), theoretically. Please share your information. Yours truly.
It's clear the main idea of combination of such algorithms is to use the advantages of both algorithms. On the other hand, one algorithm may overcome to other's deficiency.
Here, I wanna know the main factor(s) for combination of such algorithms. It's better to ask why we combine two algorithms? Which factor(s) is (are) important or more important?
Please share your information theoretically and mathematically ..thank you
GA works better for the problems with discrete variables whereas PSO works very fine with continuous variables. SO, in a mixed integer problem, one can combine both GA and PSO for the integer and continuous variables to develop a hybrid algorithm that works better than individual GA or PSO.
I think that the combination of PSO or GA with FA can improve the performance of the FA and overcome the premature.
really, FA and PSO are very similar metaheuristics, so may be it is not interesting their combination. May be it is more interesting the combination of FA with some local search methods in order to improve the explotation of search, an example is:
A hybrid firefly algorithm and pattern search technique for SSSC based power oscillation damping controller design. Ain Shams Engineering Journal
Volume 5, Issue 4, December 2014, Pages 1177–1188.
it is one of the hybrid method. it has many pros and cons. it depends mainly on the problem rather than the algorithms.
Hi, you can first step review Firefly Algorithm in Matlab, so this code is useful for your research area:
Description
Firefly algorithm for nonlinear constrained optimization.
For simple demo in 2D, please use firefly_simple.m
For unconstrained functions in higher dimenisions, please use fa_ndim.m
For nonlinear constrained optimization,
please use fa_mincon.m
MATLAB 7 (R14)
https://www.researchgate.net/publication/297245624_Particle_Swarm_Optimization_Algorithm_and_its_Codes_in_MATLAB
Research Particle Swarm Optimization: Algorithm and its Codes in MATLAB
https://www.researchgate.net/publication/296636431_Codes_in_MATLAB_for_Particle_Swarm_Optimization
Code Codes in MATLAB for Particle Swarm Optimization
https://www.researchgate.net/publication/280244004_A_comparative_study_of_metaheuristic_optimization_approaches_for_directional_overcurrent_relays_coordination
Article A comparative study of metaheuristic optimization approaches...
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