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  4. Information about course: Genetical and Evolutional Algorithms

Genetical and Evolutional Algorithms

Course Code:
14GEA
Academic Degree:
doctoral
Study Programme:
Engineering Informatics (P 3902)
languagestudy field / specialization
czech, english flagI Engineering Informatics of Transportation and Communication - 3902V036
Form of Study:
full-time and part-time
Type of Course:
optional
Course Completion:
exam
v DB je chyba..
Supervising Department:
Department of Applied Informatics in Transportation (16114)
Abstract:
• Optimization, problem classes (P, NP, NP-complete) • Darwin’s, Baldwin's and Lamarck's evolutionary theories, evolutional technique principles • Genetic algorithms • Fitness function and its modifications • Selection principles • Evolution strategy • Differential evolution • Grammatical evolution • Genetic programming • GPA • SOMA • Applications of evolutional techniques • Simulated annealing • GP and GA in machinery learning