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Using Memetic Algorithms for the Solution of Technical Problems

By Ulrike Völlinger, Erik Lehmann and Rainer Stark

Abstract

Abstract—The intention of this paper is, to help the user of evolutionary algorithms to adapt them easier to their problem at hand. For a lot of problems in the technical field it is not necessary to reach an optimum solution, but to reach a good solution in time. In many cases the solution is undetermined or there doesn’t exist a method to determine the solution. For these cases an evolutionary algorithm can be useful. This paper intents to give the user rules of thumb with which it is easier to decide if the problem is suitable for an evolutionary algorithm and how to design them. Keywords—Multi criteria optimization; Memetic algorithms I

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.353.400
Provided by: CiteSeerX
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