Treffer: On the behavior of evolutionary global-local hybrids with dynamic fitness functions
Title:
On the behavior of evolutionary global-local hybrids with dynamic fitness functions
Authors:
Source:
Parallel problem solving from nature - PPSN VII (Granada, 7-11 September 2002)Lecture notes in computer science. :13-22
Publisher Information:
Berlin: Springer, 2002.
Publication Year:
2002
Physical Description:
print, 11 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Optimisation. Problèmes de recherche, Optimization. Search problems, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Algorithme génétique, Genetic algorithm, Algoritmo genético, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Evaluation performance, Performance evaluation, Evaluación prestación, Localisation, Localization, Localización, Modèle hybride, Hybrid model, Modelo híbrido, Optimum global, Global optimum, Optimo global, Pistage, Tracking, Rastreo
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Dept. of Computer Science, University of Skövde, Box 408, 54128 Skövde, Sweden
ISSN:
0302-9743
Rights:
Copyright 2003 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Operational research. Management
Operational research. Management
Accession Number:
edscal.14574296
Database:
PASCAL Archive
Weitere Informationen
This paper investigates the ability of evolutionary global-local hybrid algorithms to handle dynamic fitness functions. Using a model where fitness functions vary in ruggedness as well as in whether changes occur gradually or abruptly, we evaluate the performance of Baldwinian and Lamarckian hybrid strategies and find them capable of locating and tracking a moving global optimum.