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Evaluation of sequential, multi-objective, and parallel interactive genetic algorithms for multi-objective optimization problems

Abstract:

We propose a sequential interactive genetic algorithm (IGA), multi-objective IGA and parallel IGA, and evaluate them with both simulated and real users. Combining human evaluation with an optimization system for engineering design enables us to embed domainspecific knowledge that is frequently hard to describe, i.e. subjective criteria, and design preferences. We introduce a new IGA technique to extend the previously introduced sequential single objective GA and multi-objective GA, viz. paral...

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Publication date:
2006-01-01
URN:
uuid:fed8ef72-9b28-45d0-901b-201cb6196ab7
Local pid:
oai:eureka.sbs.ox.ac.uk:1037

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