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Tuning metaheuristics by sequential optimisation of regression models
Áthila Trindade, Felipe Campelo
College of Engineering and Physical Sciences
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Keyphrases
Regression Model
100%
Problem Class
100%
Sequential Optimization
100%
Tuning Metaheuristics
100%
Expected Performance
66%
Comparative Analysis
33%
Simulation Model
33%
Proposed Methodology
33%
Parameter Values
33%
Algorithm Performance
33%
Tuning Parameter
33%
Number of Tests
33%
Mean Performance
33%
ParamILS
33%
Algorithm Configuration
33%
Tuning Framework
33%
Computer Science
Metaheuristics
100%
Simulation Model
50%
Comparative Analysis
50%
Parameter Value
50%
Algorithm Performance
50%
Quality Solution
50%
Mathematics
Regression Model
100%
Conditionals
50%
Simulation Model
50%