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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.1380884573.txt.gz ยท Last modified: 2015/03/08 20:59 (external edit)