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2015/03/08 20:59 kubalik
2013/10/04 13:02 external edit
2012/10/11 12:13 kubalik
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2015/03/08 20:59 kubalik
2013/10/04 13:02 external edit
2012/10/11 12:13 kubalik
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2012/10/11 12:11 kubalik
2012/10/11 12:10 kubalik created
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courses:ae4m33bia:guidelines_ea [2012/10/11 12:13]
kubalik
courses:ae4m33bia:guidelines_ea [2015/03/08 20:59]
(current)
kubalik
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1. Design an evolutionary algorithm for chosen problem.
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2. Implement and experimentally evaluate the proposed algorithm.
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3. Write a report consisting of two parts
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* Specification of chosen solution representation, selection strategy, crossover and mutation operators, evolutionary model, and definition of
the
fitness function.
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[[courses:a4m33bia:start|Back to
the
startpage]]
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* Report on the performance observed with the implementation.
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In the report
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* 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.
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* discuss the achieved results.
courses/ae4m33bia/guidelines_ea.1349950389.txt.gz
· Last modified: 2012/10/11 12:13 by
kubalik