ORIE 5340

Last Updated

  • Schedule of Classes - January 14, 2015 6:16PM EST
  • Course Catalog - January 14, 2015 6:21PM EST

ORIE 5340
Heuristic Methods for Optimization

Course information provided by the 2014-2015 Catalog.

Teaches heuristic search methods including simulated annealing, tabu search, genetic algorithms, derandomized evolution strategy, and random walk developed for optimization of combinatorial- and continuous-variable problems. Application project options include wireless networks, protein folding, job shop scheduling, partial differential equations, satisfiability, or independent projects. Statistical methods are presented for comparing algorithm results. Advantages and disadvantages of heuristic search methods for both serial and parallel computation are discussed in comparison with other optimization algorithms.


Prerequisites/Corequisites Prerequisite: CS 2110/ENGRD 2110, CEE 3200/ENGRD 3200 or permission of instructors.

Permission Note Enrollment limited to: graduate standing.

When Offered Fall.

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Syllabi: none

  •   Regular Academic Session.  Combined with: CEE 5290, CS 5722

  • 3-4 Credits Stdnt Opt

  • 12088 ORIE 5340   LEC 001

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