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Evolutionary algorithms in theory and practice
TLDR
In this work, the author compares the three most prominent representatives of evolutionary algorithms: genetic algorithms, evolution strategies, and evolutionary programming within a unified framework, thereby clarifying the similarities and differences of these methods.About:
The article was published on 1996-01-01 and is currently open access. It has received 2679 citations till now. The article focuses on the topics: Evolutionary music & Evolutionary programming.read more
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Journal ArticleDOI
Iterated Local Search
TL;DR: The purpose of this review is to give a detailed description of this metaheuristic and to show where it stands in terms of performance.
Journal ArticleDOI
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems
Erick Cantú-Paz,Chandrika Kamath +1 more
TL;DR: An empirical evaluation of eight combinations of EAs and NNs on 15 public-domain and artificial data sets is presented to identify the methods that consistently produce accurate classifiers that generalize well.
Journal ArticleDOI
Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization
Elpiniki I. Papageorgiou,Konstantinos E. Parsopoulos,Chrysostomos S. Stylios,Petros P. Groumpos,Michael N. Vrahatis +4 more
TL;DR: A new learning algorithm for Fuzzy Cognitive Maps, which is based on the application of a swarm intelligence algorithm, namely Particle Swarm Optimization, is introduced, which overcomes some deficiencies of other learning algorithms and improves the efficiency and robustness of FuzzY Cognitive Maps.
Book
Fuzzy logic in geology
Robert V. Demicco,George J. Klir +1 more
TL;DR: This book discusses Fuzzy Logic in Geological Sciences, Hydrology and Water Resources, and its applications to Reef Growth Problem and Stratigraphic Modeling.