Adaptive operator selection for iterated local search

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5752 LNCS, Issue , 2009, Pages 140-144

  Thierens, Dirk ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE OPERATORS; ITERATED LOCAL SEARCH; KNAPSACK PROBLEMS; METAHEURISTIC; ON-LINE ADAPTIVE ALGORITHMS; OPTIMAL PARAMETER SETTINGS; SEARCH OPERATORS; SELECTION METHODS; STEP SIZE;

EVOLUTIONARY ALGORITHMS; HEURISTIC METHODS; INTEGER PROGRAMMING; LANDING; LEARNING ALGORITHMS; MATHEMATICAL OPERATORS;

ADAPTIVE ALGORITHMS;

EID: 70350503208     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03751-1_15     Document Type: Conference Paper

References (3)

1. Lourenco, H., Martin, O., Stützle, T.: A beginner's introduction to iterated local search. In: Proceedings of the 4th Metaheuristics International Conference (2001)
2. DaCosta, L., Fialho, A., Schoenauer, M., Sebag, M.: Adaptive operator selection with dynamic multi-armed bandit. In: Proceedings of the 10th Genetic and Evolutionary Computation Conference, pp. 913-920 (2008)
3. Thierens, D.: An adaptive pursuit strategy for allocating operator probabilities. In: Proceedings of the 7th Genetic and Evolutionary Computation Conference, pp. 1539-1546 (2005)