A Review on Estimation of Distribution Algorithms: 3
P Larranaga - Estimation of distribution algorithms: a new tool for …, 2002 - Springer
In this chapter, we review the Estimation of Distribution Algorithms proposed for the solution
of combinatorial optimization problems and optimization in continuous domains. Different …
of combinatorial optimization problems and optimization in continuous domains. Different …
[图书][B] Estimation of distribution algorithms: A new tool for evolutionary computation
P Larrañaga, JA Lozano - 2012 - books.google.com
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation is devoted to
a new paradigm for evolutionary computation, named estimation of distribution algorithms …
a new paradigm for evolutionary computation, named estimation of distribution algorithms …
An introduction and survey of estimation of distribution algorithms
M Hauschild, M Pelikan - Swarm and evolutionary computation, 2011 - Elsevier
Estimation of distribution algorithms (EDAs) are stochastic optimization techniques that
explore the space of potential solutions by building and sampling explicit probabilistic …
explore the space of potential solutions by building and sampling explicit probabilistic …
Visualising basins of attraction for the cross-entropy and the squared error neural network loss functions
Quantification of the stationary points and the associated basins of attraction of neural
network loss surfaces is an important step towards a better understanding of neural network …
network loss surfaces is an important step towards a better understanding of neural network …
Low-budget exploratory landscape analysis on multiple peaks models
P Kerschke, M Preuss, S Wessing… - Proceedings of the …, 2016 - dl.acm.org
When selecting the best suited algorithm for an unknown optimization problem, it is useful to
possess some a priori knowledge of the problem at hand. In the context of single-objective …
possess some a priori knowledge of the problem at hand. In the context of single-objective …
Sampling techniques and distance metrics in high dimensional continuous landscape analysis: Limitations and improvements
R Morgan, M Gallagher - IEEE Transactions on Evolutionary …, 2013 - ieeexplore.ieee.org
In metaheuristic optimization, understanding the relationship between problems and
algorithms is important but nontrivial. There has been a growing interest in the literature on …
algorithms is important but nontrivial. There has been a growing interest in the literature on …
The R-Package FLACCO for exploratory landscape analysis with applications to multi-objective optimization problems
P Kerschke, H Trautmann - 2016 IEEE Congress on …, 2016 - ieeexplore.ieee.org
Exploratory Landscape Analysis (ELA) aims at understanding characteristics of single-
objective continuous (black-box) optimization problems in an automated way. Moreover, the …
objective continuous (black-box) optimization problems in an automated way. Moreover, the …
Learning to play Pac-Man: An evolutionary, rule-based approach
M Gallagher, A Ryan - The 2003 Congress on Evolutionary …, 2003 - ieeexplore.ieee.org
Pac-Man is a well-known, real-time computer game that provides an interesting platform for
research. We describe an initial approach to developing an artificial agent that replaces the …
research. We describe an initial approach to developing an artificial agent that replaces the …
A collaborative privacy-preserving deep learning system in distributed mobile environment
M Liu, H Jiang, J Chen, A Badokhon… - 2016 International …, 2016 - ieeexplore.ieee.org
In the last couple years, deep learning gained great popularity in health and medical
science. For analyzing personal health data, privacy of patients and their data is one of the …
science. For analyzing personal health data, privacy of patients and their data is one of the …
Analyzing the population based incremental learning algorithm by means of discrete dynamical systems
C González Morgado, JA Lozano Alonso… - Complex …, 2000 - oa.upm.es
In this paper the convergence behavior of the population based incremental learning
algorithm (PBIL) is analyzed using discrete dynamical systems. A discrete dynamical system …
algorithm (PBIL) is analyzed using discrete dynamical systems. A discrete dynamical system …