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Course Objectives

  1. To introduce the basics of heuristic optimization
  2. To develop problem specific heuristic algorithms
  3. To code heuristic algorithms

Topics

  • Fundamentals of heuristic optimization
  • Simulated Annealing
  • Tabu search
  • Fundamentals of Genetic Algorithm
  • Genetic Algorithm and Applications
  • Swarm Optimization
  • Ant-colony optimization
  • Fundamentals Multi-objective optimization
  • Multi-objective optimization and applications
  • Constrained optimization
  • Performance measurement of algorithms