I am working on an image processing research that uses global optimization techniques. We used Matlab(R) genetic algorithm, simulated annealing and we were planning to use particle swarm as well. Although Matlab documentation refers to particle swarm, i did not find in Matlab 13 or 14.
Please try ours: https://www.researchgate.net/publication/259643342_Source_code_for_an_implementation_of_Standard_Particle_Swarm_Optimization_--_revised?ev=prf_pub
Full results are described here: https://www.researchgate.net/publication/259643271_Standard_Particle_Swarm_Optimization_on_the_CEC2013_RealParameter_Optimization_Benchmark_Functions_--_revised?ev=prf_pub
Data Source code for an implementation of Standard Particle Swarm...
Technical Report Standard Particle Swarm Optimization on the CEC2013 Real‐Par...
Dear Ahmed Hassan Yousef
You can send an email to
Xin-She Yang
asking for the code of his book about Nature Inspired Algorithms.
Not only you'll immediately receive an implementation of particle swarm in Matlab, but also you will get codes of efficient soft computing techniques and samples of the book describing these wonderful techniques.
Good Luck
A very simple algorithm is available at the following link which can easily be coded in Matlab for PSO;
M. N. Alam, B. Das, V. Pant, A comparative study of metaheuristic optimization approaches for direc-tional overcurrent relays coordination, Electric Power Systems Research 128 (2015) 39{52.
Cite
S. Mostapha Kalami Heris
Khaje Nasir Toosi University of Technology
For MATLAB implementation of PSO, check this out:
http://yarpiz.com/50/ypea102-particle-swarm-optimization
In case of multi-objective optimization, you can use MOPSO (Multi-Objective Particle Swarm Optimization). The MATLAB implementation of MOPSO, is available here:
http://yarpiz.com/59/ypea121-mopso
Cite
Mahamad Nabab Alam
National Institute of Technology, Warangal
PSO codes in MATLAB
https://www.researchgate.net/publication/296636431_Codes_in_MATLAB_for_Particle_Swarm_Optimization?ev=prf_pub
Code Codes in MATLAB for Particle Swarm Optimization
Cite
Mahamad Nabab Alam
National Institute of Technology, Warangal
PSO codes in MATLAB
https://www.researchgate.net/publication/296636431_Codes_in_MATLAB_for_Particle_Swarm_Optimization?ev=prf_pub
Code Codes in MATLAB for Particle Swarm Optimization
Cite
Mahamad Nabab Alam
National Institute of Technology, Warangal
Kindly, go through the following publication.
Y. del Valle, G. Venayagamoorthy, S. Mohagheghi, J.-C. Hernandez, R. Harley, Particle swarm optimization: Basic concepts, variants and applications in power systems, IEEE Transactions on Evolutionary Computation, 12 (2) (2008) 171-195.
I hope it will be very helpful to you.
Cite
Mahamad Nabab Alam
National Institute of Technology, Warangal
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
Cite
Mahamad Nabab Alam
National Institute of Technology, Warangal
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...
Cite
Simulation Tutor
University of Lahore
For Matlab Code, Visit link
http://dg-algorithm.blogspot.com/
Cite
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# 104
Dear Rajko Ković, Miloš Milenković
I have read your paper
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I hope my comments help
Nolberto Munier
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I am studying on global optimization algorithm now, it seems that there are many different versions of each kind of algorithm. Only for particle swarm optimization (PSO) algorithm, there are many versions like APSO, CPSO, PSOPC, FAPSO, ARPSO, DGHPSOGS (see Han and Liu, 2014, Neurocomputing). In addition, the class of genetic algorithm (GA), differential evolution (ED), ant colony optimization (ACO), simulated annealing (SA) and so on, can also be used to solve the problem. When we develop a new global algorithm, it is worthwhile comparing the performance of these different methods on some benchmark functions (like Resenbrock function and Rastrigin function) in a fair way. For example, I would say the average number of evaluations of cost functions, the success rate, and the average time-consuming is good as measurements for comparison.
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I am looking forward to your answer and greatly appreciate your help.
Best wishes,
Bin She.
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