Hyper-heuristics: A survey of the state of the art
Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …
goal of automating the design of heuristic methods to solve hard computational search …
Auto-sklearn 2.0: Hands-free automl via meta-learning
Automated Machine Learning (AutoML) supports practitioners and researchers with the
tedious task of designing machine learning pipelines and has recently achieved substantial …
tedious task of designing machine learning pipelines and has recently achieved substantial …
Machine learning for automated theorem proving: Learning to solve SAT and QSAT
SB Holden - Foundations and Trends® in Machine Learning, 2021 - nowpublishers.com
The decision problem for Boolean satisfiability, generally referred to as SAT, is the
archetypal NP-complete problem, and encodings of many problems of practical interest exist …
archetypal NP-complete problem, and encodings of many problems of practical interest exist …
Benchmark and survey of automated machine learning frameworks
Abstract Machine learning (ML) has become a vital part in many aspects of our daily life.
However, building well performing machine learning applications requires highly …
However, building well performing machine learning applications requires highly …
Automated algorithm selection: Survey and perspectives
It has long been observed that for practically any computational problem that has been
intensely studied, different instances are best solved using different algorithms. This is …
intensely studied, different instances are best solved using different algorithms. This is …
Improving the search performance of SHADE using linear population size reduction
R Tanabe, AS Fukunaga - 2014 IEEE congress on evolutionary …, 2014 - ieeexplore.ieee.org
SHADE is an adaptive DE which incorporates success-history based parameter adaptation
and one of the state-of-the-art DE algorithms. This paper proposes L-SHADE, which further …
and one of the state-of-the-art DE algorithms. This paper proposes L-SHADE, which further …
Ensemble strategies for population-based optimization algorithms–A survey
In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …
quality of the solutions depends heavily on the selection of algorithms, strategies and …
[引用][C] Swarm Intelligence: From Natural to Artificial Systems
E Bonabeau - Oxford University Press google schola, 1999 - books.google.com
Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving
systems with sophisticated collective intelligence. Composed of simple interacting agents …
systems with sophisticated collective intelligence. Composed of simple interacting agents …
[图书][B] Handbook of constraint programming
Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …
that draws on a wide range of techniques from artificial intelligence, computer science …
Algorithm selection for combinatorial search problems: A survey
L Kotthoff - Data mining and constraint programming: Foundations …, 2016 - Springer
Abstract The Algorithm Selection Problem is concerned with selecting the best algorithm to
solve a given problem on a case-by-case basis. It has become especially relevant in the last …
solve a given problem on a case-by-case basis. It has become especially relevant in the last …