Could any one tell me about genetic algorithms and how these are used to solve optimization problems?
I am working on task allocation in distributed computing systems. To get the optimal results i need to know about genetic algorithms.
Optimization (Mathematical Programming)
Apr 19, 2012
· Yarmouk University
You can use URL:
There you will findb a very nice readable tutorial of GA's, posted by David Goldberg.
Apr 24, 2012
Marek Wojciech Gutowski
· Institute of Physics of the Polish Academy of Sciences
Continuing Younis Elhaddad's comment: one should be aware that a chromosome need not to be a trial solution. It is rather a smartly coded prescription how to obtain the trial solution which, in turn, has to be evaluated by user-supplied procedure, specific both to the problem to be solved and to the convention adopted to convert a chromosome into trial solution. The chromosome is a sequence of genes, usually all of the same kind, i.e. letters from the chosen alphabet, single bits or groups of bits (not necessarily all of the same length), integer numbers, or even real numbers. A correspondence gene <--> unknown is neither necessary nor required but encountered quite often. Concluding: there is no universal way how to construct chromosomes. One and the same problem may be coded in many ways and all of them are of comparable value. Just stick to Einstein's advice: "Everything should be made as simple as possible, but not simpler."
Jul 2, 2012
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