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			33 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
			
		
		
	
	
			33 lines
		
	
	
		
			1.8 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
| <html>
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| <head>
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| <title>Post-processing parameters</title>
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| </head>
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| <body>
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| <h1 align="center">Post-processing parameters</h1>
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| <center>
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| </center>
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| <p>
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| If post processing is activated, it is performed after every
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| optimization run and it may be triggered using the solutions of the last optimization run by
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| the "Post process" button.
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| Post processing performs both accuracy checks of the delivered solutions and a clustering/refinement of the
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| solutions with a local search method. The solutions are clustered to remove redundancy and the remaining
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| best cluster representatives are considered. </p>
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| <p>For the accuracy evaluation, multiple thresholds may be used. The solutions are then clustered using a distance
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| of 0.1 times the respective accuracy threshold and a Nelder-Mead-Simplex search is initialized in close vicinity.
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| As soon as the NMS search fails to produce an improved solution at a distance larger than the accuracy threshold
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| from the original positions, the solution is considered to be accurate by that threshold. </p>        
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| <p>Besides the accuracy, a refinement can be performed using several local search methods. After the refinement,
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| the set is clustered again to filter out solutions which converged on the same optimum during the local search.
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| </p>
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| <p>
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| The results of the post processing are displayed in the text window (and/or stats output file) and show a coarse
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| distribution of the final solutions as well as the explicit vectors of the n best solutions obtained, where n
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| is set as printNBest parameter.
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| If post-processing is started several times in a row, the initial solution set is the same, namely the one found
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| by optimization. Thereby one can guess, e.g., how close the solutions are to each other and how closely they
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| have converged during optimization itself.
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| </p>
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| 
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| </body>
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| </html>  |