TY - GEN
T1 - Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization
AU - Werth, Bernhard
AU - Pitzer, Erik
AU - Affenzeller, Michael
PY - 2020
Y1 - 2020
N2 - Exploratory fitness landscape analysis (FLA) is a category of techniques that try to capture knowledge about a black-box optimization problem. This is achieved by assigning features to a certain problem instance utilizing only information obtained by evaluating the black-box. This knowledge can be used to obtain new domain knowledge but more often the intended use is to automatically find an appropriate heuristic optimization algorithm [9]. FLA-based algorithm selection and parametrization hinges on the idea, that, while no optimization algorithm can be the optimal choice for all black-box problems, algorithms are expected to work similarly well on problems with similar statistical characteristics [8, 15].
AB - Exploratory fitness landscape analysis (FLA) is a category of techniques that try to capture knowledge about a black-box optimization problem. This is achieved by assigning features to a certain problem instance utilizing only information obtained by evaluating the black-box. This knowledge can be used to obtain new domain knowledge but more often the intended use is to automatically find an appropriate heuristic optimization algorithm [9]. FLA-based algorithm selection and parametrization hinges on the idea, that, while no optimization algorithm can be the optimal choice for all black-box problems, algorithms are expected to work similarly well on problems with similar statistical characteristics [8, 15].
UR - http://www.scopus.com/inward/record.url?scp=85083976731&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45093-9_30
DO - 10.1007/978-3-030-45093-9_30
M3 - Conference contribution
AN - SCOPUS:85083976731
SN - 9783030450922
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 247
EP - 254
BT - Computer Aided Systems Theory – EUROCAST 2019 - 17th International Conference, Revised Selected Papers
A2 - Moreno-Díaz, Roberto
A2 - Quesada-Arencibia, Alexis
A2 - Pichler, Franz
PB - Springer
T2 - 17th International Conference on Computer Aided Systems Theory, EUROCAST 2019
Y2 - 17 February 2019 through 22 February 2019
ER -