Result: Multiobjective optimization using evolutionary algorithms : A comparative case study
Title:
Multiobjective optimization using evolutionary algorithms : A comparative case study
Authors:
Source:
PPSN V : parallel problem solving from nature (Amsterdam, 27-30 September 1998)Lecture notes in computer science. :292-301
Publisher Information:
Berlin: Springer, 1998.
Publication Year:
1998
Physical Description:
print, 12 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, Flots dans les réseaux. Problèmes combinatoires, Flows in networks. Combinatorial problems, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Résolution de problèmes, jeux, Problem solving, game playing, Algorithme recherche, Search algorithm, Algoritmo búsqueda, Algorithme évolutionniste, Evolutionary algorithm, Algoritmo evoluciónista, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Optimisation sous contrainte, Constrained optimization, Optimización con restricción, Performance algorithme, Algorithm performance, Resultado algoritmo, Problème sac à dos, Knapsack problem, Problema mochila
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Swiss Federal Institute of Technology Zurich, Computer Engineering and Communication Networks Laboratory (TIK), Gloriastrasse 35, 8092 Zurich, Switzerland
ISSN:
0302-9743
Rights:
Copyright 1999 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.1569259
Database:
PASCAL Archive
Further Information
Since 1985 various evolutionary approaches to multiobjective optimization have been developed, capable of searching for multiple solutions concurrently in a single run. But the few comparative studies of different methods available to date are mostly qualitative and restricted to two approaches. In this paper an extensive, quantitative comparison is presented, applying four multiobjective evolutionary algorithms to an extended 0/1 knapsack problem.