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			25 lines
		
	
	
		
			1.4 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
| <html>
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| <head>
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| <title>EvA Genetic Optimization</title>
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| </head>
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| <body>
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| <h1 align="center">Genetic Optimization Parameters</h1>
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| <br>
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| The GO parameter class is used to change main GO optimization settings. You may:
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| <ul>
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|   <li>Choose the optimizer. Check the optimizer object for further parameters and information.</li>
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|   <li>Set post-processing parameters or leave it turned off.</li>
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|   <li>Select the problem to be optimized. Check the problem instance for further parameters and information. </li>
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|   <li>Set a random seed. For the same positive seed, an optimization run should yield the same results. Set the seed to zero to use a dynamic seed for each run (using system time).</li>
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|   <li>Define the termination criterion. Usually a maximum number of fitness evaluations is set, but 
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|   	it is also possible to choose a maximum number of generations, an absolute fitness value to be reached, a
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|   	convergence criterion or a combination of those.</li>  
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| </ul>
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| <b>Note:</b> <br>
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| The evolutionary operators used by a strategy are tightly connected to the representation used.
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| On the other hand, the representation is usually defined by the underlying problem, therefore,
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| to change the operators effecting the individuals, select the problem and set them within the
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| Individual class presented there. Also note, that not all optimizers can handle all types
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| of representations.
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| </body>
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| </html> |