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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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