Multiobjective optimization using evolutionary algorithms — A comparative case study View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1998

AUTHORS

Eckart Zitzler , Lothar Thiele

ABSTRACT

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. More... »

PAGES

292-301

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bfb0056872

DOI

http://dx.doi.org/10.1007/bfb0056872

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008568979


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