I would like to become more proficient using MATLAB's optimization toolbox in general and GA optimization in particular for solving non-linear constrained single- and multi-objective optimization problems. I face a lot of optimization problems in my field, and usually using the fmincon or ga functions in MATLAB is where I go. I've had some experience in using the toolbox; however, I would now like to learn more about:
- options such as creating my own fitness, selection, mutation, and/or crossover functions in ga,
- coding my own optimization (evolutionary or numerical) algorithm, and
- using other recommended optimization software/codes.
Any recommendations would be highly appreciated.
Please collect necessary details from the following link:
www.mathworks.com/discovery/genetic-algorithm.html
see:
Randy L. Haupt, Sue Ellen Haupt, Practical Genetic Algorithms, Wiley-Interscience publication, 2004.
at the end of book, some codes are prepared that may be helpful.
The GA toolbox in MATLAB allows you to create your own functions and set them as options for the optimization problem.
The book mentioned above is good in terms of how the genetic algorithm work and its application. However the codes are not as good as the GA toolbox.
Why don't you use PSO??
for codes
http://www.particleswarm.info/Programs.html
Please, don't hesitate to send me a message if you need any other information.
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