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Cornell University School of Continuing Education and Summer Sessions


SYSEN 5240 Search and Optimization with Metaheuristics

Course description

(summer only) This course is only offered in the Summer Session.

This course analyzes modern heuristic methods for search and optimization problems. Single-solution based, population based, as well as hybrid techniques are examined. A survey of classical exact optimization methods is given to put metahueristics in context, and the problem characteristics that favor a heuristic approach are discussed. This course uses implementation case studies to emphasize the solution process representation, computation parameter estimation, and performance analysis. Students will complete a demonstration project by implementing a metaheuristic solution on a problem of their choice.


Student should have working knowledge of a high-level programming language (e.g., Matlab, Python, C, Java). Student should have completed a course in optimization or systems analysis that emphasizes formulation and modeling and statistics


The next offering of this course is undetermined at this time. Find similar upcoming programs by tag: computer science, engineering

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