Search Results - "automatic algorithm configuration"

The irace package: Iterated racing for automatic algorithm configuration by López-Ibáñez, Manuel, Dubois-Lacoste, Jérémie, Pérez Cáceres, Leslie, Birattari, Mauro, Stützle, Thomas G

“…Modern optimization algorithms typically require the setting of a large number of parameters to optimize their performance. The immediate goal of automatic…”
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Automatic generation of iterated greedy algorithms for the non-permutation flow shop scheduling problem with total completion time minimization by Brum, Artur, Ruiz, Rubén, Ritt, Marcus

“…•Non-permutation schedules allow shorter total completion times.•We combine individual components to generate algorithms.•We use an automatic approach to…”
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A landscape-based analysis of fixed temperature and simulated annealing by Franzin, Alberto, Stützle, Thomas

“…•We extensively compare two variants of simulated annealing on different problems.•We automatically generate optimized versions of each algorithm for various…”
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SATenstein: Automatically building local search SAT solvers from components by KhudaBukhsh, Ashiqur R., Xu, Lin, Hoos, Holger H., Leyton-Brown, Kevin

“…Designing high-performance solvers for computationally hard problems is a difficult and often time-consuming task. Although such design problems are…”
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Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms by Bezerra, Leonardo C. T., Lopez-Ibanez, Manuel, Stutzle, Thomas

“…Multiobjective evolutionary algorithms (MOEAs) are typically proposed, studied, and applied as monolithic blocks with a few numerical parameters that need to…”
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Capping methods for the automatic configuration of optimization algorithms by de Souza, Marcelo, Ritt, Marcus, López-Ibáñez, Manuel

“…Automatic configuration techniques are widely and successfully used to find good parameter settings for optimization algorithms. Configuration is costly,…”
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Integrated deep learning-based IRACE and convolutional neural networks for chest X-ray image classification by Abdel Samee, Nagwan, Houssein, Essam H., Saber, Eman, Hu, Gang, Wang, Mingjing

“…When pre-trained models are applied directly to chest X-ray (CXR) images without appropriate adaptation, they frequently show problems like overfitting,…”
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Automatic Algorithm Design for Hybrid Flowshop Scheduling Problems by Alfaro-Fernández, Pedro, Ruiz, Rubén, Pagnozzi, Federico, Stützle, Thomas

“…•We present an Automatic Algorithm Design system for the hybrid flowshop problem.•Algorithm components are combined according to a grammar to generate new…”
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MPILS: An Automatic Tuner for MILP Solvers by Himmich, Ilyas, Er Raqabi, El Mehdi, El Hachemi, Nizar, El Hallaoui, Issmaïl, Metrane, Abdelmoutalib, Soumis, François

“…The parameter configuration problem consists of finding a parameter configuration that gives a particular algorithm the best performance. This paper introduces…”
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A unified ant colony optimization algorithm for continuous optimization by Liao, Tianjun, Stützle, Thomas, Montes de Oca, Marco A., Dorigo, Marco

“…•We propose UACOR, a unified ACO algorithm for continuous optimization.•UACOR integrates algorithmic components from three previous ACO algorithms.•Automatic…”
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Dynamic instance sampling for multi-objective automatic algorithm configuration by Li, Yuchen, Wang, Handing

“…Multi-objective automatic algorithm configuration alleviates the tedious parameter tuning for users by optimizing both the performance and efficiency of the…”
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The Automatic Design of Multiobjective Ant Colony Optimization Algorithms by Lopez-Ibanez, M., Stutzle, T.

“…Multiobjective optimization problems are problems with several, typically conflicting, criteria for evaluating solutions. Without any a priori preference…”
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Exploring variable neighborhood search for automatic algorithm configuration by Pérez Cáceres, Leslie, Stützle, Thomas

“…Methods for automatic algorithm configuration integrate some search mechanism for generating candidate algorithm configurations and mechanisms for handling the…”
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A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms by Bezerra, Leonardo C T, López-Ibáñez, Manuel, Stützle, Thomas

“…Research on multi-objective evolutionary algorithms (MOEAs) has produced over the past decades a large number of algorithms and a rich literature on…”
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Large neighborhood search for multi-trip vehicle routing by François, Véronique, Arda, Yasemin, Crama, Yves, Laporte, Gilbert

“…•Multi-trip operators are proposed and compared with classical techniques.•One of the proposed ALNS heuristics provides state-of-the-art results.•An automatic…”
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Adaptive Operator Selection for Meta-Heuristics: A Survey by Pei, Jiyuan, Mei, Yi, Liu, Jialin, Zhang, Mengjie, Yao, Xin

“…Appropriate selection of search operators plays a critical role in meta-heuristic algorithm design. Adaptive selection of suitable operators to the…”
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Exploring the probabilistic graphic model of a hybrid multi-objective Bayesian estimation of distribution algorithm by Martins, Marcella S.R., Delgado, Myriam, Lüders, Ricardo, Santana, Roberto, Gonçalves, Richard A., de Almeida, Carolina P.

“…The Hybrid Multi-objective Bayesian Estimation of Distribution Algorithm (HMOBEDA) has shown to be very competitive for Many Objective Optimization Problems…”
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Unbalanced budget distribution for automatic algorithm configuration by Ghambari, Soheila, Rakhshani, Hojjat, Lepagnot, Julien, Jourdan, Laetitia, Idoumghar, Lhassane

“…Optimization algorithms often have several critical setting parameters and the improvement of the empirical performance of these algorithms depends on tuning…”
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Online algorithm configuration for differential evolution algorithm by Huang, Changwu, Bai, Hao, Yao, Xin

“…The performance of evolutionary algorithms (EAs) is strongly affected by their configurations. Thus, algorithm configuration (AC) problem, that is, to properly…”
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Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools by Mascia, Franco, López-Ibáñez, Manuel, Dubois-Lacoste, Jérémie, Stützle, Thomas

“…Several grammar-based genetic programming algorithms have been proposed in the literature to automatically generate heuristics for hard optimization problems…”
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