Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution

Generalization, i.e., the ability of solving problem instances that are not available during the system design and development phase, is a critical goal for intelligent systems. A typical way to achieve good generalization is to learn a model from vast data. In the context of heuristic search, such...

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Vydané v:	IEEE transactions on evolutionary computation Ročník 25; číslo 3; s. 595 - 607
Hlavní autori:	Tang, Ke, Liu, Shengcai, Yang, Peng, Yao, Xin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.06.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithm configuration automatic parameter tuning co-evolution Evolutionary algorithms Machine learning Machine learning algorithms parallel algorithm portfolios (PAPs) Parallel algorithms Portfolios Route planning Sociology Statistics Systems design Training Traveling salesman problem Tuning Vehicle routing vehicle routing problems Windows (intervals)
ISSN:	1089-778X, 1941-0026
On-line prístup:	Získať plný text
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