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Estimation-based local search for stochastic combinatorial optimization using delta evaluations : s case study on the probabilistic traveling salesman problem
Birattari, Mauro; Balaprakash, Prasanna; Stützle, Thomas; … - In: INFORMS journal on computing : JOC 20 (2008) 4, pp. 644-658
Persistent link: https://www.econbiz.de/10003772398
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Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem
Balaprakash, Prasanna; Birattari, Mauro; Stützle, Thomas G. - In: European journal of operational research : EJOR 199 (2009) 1, pp. 98-110
Persistent link: https://www.econbiz.de/10003863216
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Estimation-based metaheuristics for the probabilistic traveling salesman problem
Balaprakash, Prasanna; Birattari, Mauro; Stützle, Thomas G. - In: Computers & operations research : and their … 37 (2010) 11, pp. 1939-1951
Persistent link: https://www.econbiz.de/10003990148
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Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem
Balaprakash, Prasanna; Birattari, Mauro; Stützle, Thomas; … - In: European journal of operational research : EJOR 199 (2009) 1, pp. 98-110
Persistent link: https://www.econbiz.de/10008248369
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Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem
Birattari, Mauro; Balaprakash, Prasanna; Stützle, Thomas; … - In: INFORMS journal on computing : JOC 20 (2008) 4, pp. 644-658
Persistent link: https://www.econbiz.de/10008111451
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Model-Based Search for Combinatorial Optimization: A Critical Survey
Zlochin, Mark; Birattari, Mauro; Meuleau, Nicolas; … - 2004
Persistent link: https://www.econbiz.de/10008223352
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An analysis of parameter adaptation in reactive tabu search
Mascia, Franco; Pellegrini, Paola; Birattari, Mauro; … - In: International transactions in operational research : … 21 (2014) 1, pp. 127-152
Persistent link: https://www.econbiz.de/10010234635
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The irace package : iterated racing for automatic algorithm configuration
López-Ibáñez, Manuel; Dubois-Lacoste, Jérémie; … - In: Operations research perspectives 3 (2016), pp. 43-58
Modern optimization algorithms typically require the setting of a large number of parameters to optimize their performance. The immediate goal of automatic algorithm configuration is to find, automatically, the best parameter settings of an optimizer. Ultimately, automatic algorithm...
Persistent link: https://www.econbiz.de/10011822751
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The Ant colony optimization metaheuristic: algorithms, applications, and advances
Dorigo, Marco; Stützle, Thomas - In: Handbook of metaheuristics, (pp. 251-285). 2003
Persistent link: https://www.econbiz.de/10003440332
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A unified ant colony optimization algorithm for continuous optimization
Liao, Tianjun; Stützle, Thomas G.; Montes de Oca, Marco A. - In: European journal of operational research : EJOR 234 (2014) 3, pp. 597-609
Persistent link: https://www.econbiz.de/10010360502