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courses:ae4m33bia:guidelines_ea [2013/10/04 13:02] external edit
courses:ae4m33bia:guidelines_ea [2015/03/08 20:59] (current)
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-1. Design an evolutionary algorithm for chosen problem. 
-2. Implement and experimentally evaluate the proposed algorithm. 
-3. Write a report consisting of two parts 
-  * Specification of chosen solution representation,​ selection strategy, crossover and mutation operators, evolutionary model, and definition of the fitness function. 
-  * Report on the performance observed with the implementation. 
-In the report 
-  * use tables to present statistics such as the absolute best solution values, the mean best-of-run values (accompanied by standard deviation), mean computation time etc. and graphs showing mean/​typical convergence curves. 
-  * discuss the achieved results. 
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courses/ae4m33bia/guidelines_ea.txt ยท Last modified: 2015/03/08 20:59 by kubalik