====== Semestral tasks ====== You can come up with * [[.:own|your own semestral task topic]] or you can choose from the following ones: - [[.:warehouse_layout|Warehouse layout]] - [[.:supersequence|The shortest common supersequence]] - [[.:divide_and_conquer|Divide and conquer!]] - [[.:mtsp|TSP with multiple salespersons]] - [[.:generalized_tsp|Generalized TSP]] - Simulation tasks: * [[.:pd:start|Iterated Prisoner's Dilemma]] * [[.:vox:start|Voxelize]] * [[.:aigym:start|AI Gym]] * [[.:aigym:frozen_lake|FrozenLake8x8-v0]] - [[.:timetabling:start|Timetabling]] - [[.:nn_tuning:start|Tuning of neural networks]] - [[.:roadref|ROADREF Challenge]] - [[.:edu_app:start|Interactive educational app]] Please, **after the semestral tasks presentation during a lab session**, send **three chosen topics** in the order of your interest to [[petr.posik@cvut.cz]]. The topic can be freely changed until the semestral tasks deadline (if not fully occupied by other students). **One topic can be solved by 3 students at most!** First come, first served. [[https://docs.google.com/spreadsheets/d/1OjBEt_GDqaZy6eAPCmFpM5fkw2Uv1_3Q2O7vXXUnKQk/edit?usp=sharing|Current assignments of the topics]] ===== Your tasks ===== The chosen semestral task topic shall be solved with - a local search algorithm, - simple evolutionary algorithm and - a specialized EA or memetic algorithm (EA combined with local search). ===== Requirements for the implementaton ===== * Working code for all solved subtasks. * GUI is not required (but can bring you some bonus points). /* ===== Specifikace formátu souborů s nejlepšími výsledky ===== * {{:courses:a0m33eoa:semestralni_ulohy:format_vysledkoveho_souboru.txt|Formát výsledků}} * {{:courses:a0m33eoa:semestralni_ulohy:vysledkovy_soubor_komprese_obrazu.txt|Formát výsledků - příklad komprese obrázků}} */ ===== Further info: ===== * [[courses:a0m33eoa:grading#semestral_task|Grading of the semestral task]] * [[courses:a0m33eoa:semestral_tasks:guidelines|Elaboration guidelines for report and presentation]]