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Dec 04, 2022
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CSC 614 - Meta-Heuristics
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. [3-0, 3 cr.]
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate
Schedule Types: Lecture, Tutorial

Computer Science & Mathematics Department

Course Attributes:

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