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Operations Research - UNJA

Operations Research - UNJA

zalamsyah.staff.unja.ac.id

11.4 Local Search Heuristics 445 11.4.1 Nearest-Neighbor Heuristic 445 11.4.2 Reversal Heuristic 446 11.5 Metaheuristics 449 11.5.1 TSP Tabu Algorithm 449 11.5.2 TSP Simulated Annealing Algorithm 452 Contents 11

  Search, Local, Simulated, Annealing, Simulated annealing, Local search

Local Search and Optimization - courses.cs.washington.edu

Local Search and Optimization - courses.cs.washington.edu

courses.cs.washington.edu

Genetic algorithms • Twist on Local Search: successor is generated by combining two parent states • A state is represented as a string over a finite alphabet (e.g. binary) –8-queens •State = position of 8 queens each in a column • Start with k randomly generated states (population) • Evaluation function (fitness function):

  Search, Local, Genetic, Algorithm, Genetic algorithms, Local search

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Local Search, Simulated Annealing, Genetic algorithms