CSC614 Meta-Heuristics

[3–0, 3 cr.]

This course covers widely used meta-heuristic optimization techniques in computing, such as simulated annealing, Tabu search, genetic algorithms, ant algorithms and de-randomized evolution strategies. Serial as well as parallel algorithms will be studied. Students will develop application projects from a wide range of application areas. The advantages and disadvantages of meta-heuristic search methods are discussed.

Note: This course has not been taught since Fall 2021 and will not be taught during the academic year 2023-2024.