[LIVRE][B] The practical handbook of genetic algorithms: applications
LD Chambers - 2000 - taylorfrancis.com
Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …
edition precipitated this completely revised, thoroughly updated second edition of The …
[LIVRE][B] Efficient and accurate parallel genetic algorithms
E Cantu-Paz - 2000 - books.google.com
As genetic algorithms (GAs) become increasingly popular, they are applied to difficult
problems that may require considerable computations. In such cases, parallel …
problems that may require considerable computations. In such cases, parallel …
Efficient parallel genetic algorithms: theory and practice
E Cantu-Paz, DE Goldberg - Computer methods in applied mechanics and …, 2000 - Elsevier
Parallel genetic algorithms (GAs) are complex programs that are controlled by many
parameters, which affect their search quality and their efficiency. The goal of this paper is to …
parameters, which affect their search quality and their efficiency. The goal of this paper is to …
Topologies, migration rates, and multi-population parallel genetic algorithms
E Cantú-Paz - Proceedings of the 1st Annual Conference on Genetic …, 1999 - dl.acm.org
This paper presents a study of parallel genetic algorithms (GAs) with multiple populations
(also called demes or islands). The study makes explicit the relation between the probability …
(also called demes or islands). The study makes explicit the relation between the probability …
[LIVRE][B] Foundations of learning classifier systems: An introduction
Abstract [Learning] Classifier systems are a kind of rule-based system with general
mechanisms for processing rules in parallel, for adaptive generation of new rules, and for …
mechanisms for processing rules in parallel, for adaptive generation of new rules, and for …
On the scalability of parallel genetic algorithms
E Cantu-Paz, DE Goldberg - Evolutionary computation, 1999 - direct.mit.edu
This paper examines the scalability of several types of parallel genetic algorithms (GAs). The
objective is to determine the optimal number of processors that can be used by each type to …
objective is to determine the optimal number of processors that can be used by each type to …
Adaptively resizing populations: Algorithm, analysis, and first results
RE Smith, E Smuda - 1993 - ntrs.nasa.gov
Deciding on an appropriate population size for a given Genetic Algorithm (GA) application
can often be critical to the algorithm's success. Too small, and the GA can fall victim to …
can often be critical to the algorithm's success. Too small, and the GA can fall victim to …
[LIVRE][B] Designing efficient and accurate parallel genetic algorithms
E Cantú-Paz - 1999 - search.proquest.com
Parallel implementations of genetic algorithms (GAs) are common, and, in most cases, they
succeed to reduce the time required to find acceptable solutions. However, the effect of the …
succeed to reduce the time required to find acceptable solutions. However, the effect of the …
Is a learning classifier system a type of neural network?
RE Smith, HB Cribbs III - Evolutionary Computation, 1994 - direct.mit.edu
This paper suggests a simple analogy between learning classifier systems (LCSs) and
neural networks (NNs). By clarifying the relationship between LCSs and NNs, the paper …
neural networks (NNs). By clarifying the relationship between LCSs and NNs, the paper …
[PDF][PDF] Genetics-Based Machine Learning.
T Kovacs - 2012 - people.cs.bris.ac.uk
This survey: 1 Introduces the subject introduces Supervised Learning (SL) contrasts SL with
optimisation assumes readers are familiar with Evolutionary Algorithms (EAs) discusses …
optimisation assumes readers are familiar with Evolutionary Algorithms (EAs) discusses …