Author:
Filatovas Ernestas,Lančinskas Algirdas,Kurasova Olga,Žilinskas Julius
Funder
Lithuanian Research Council
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research
Reference38 articles.
1. Auger A, Bader J, Brockhoff D, Zitzler E (2009) Articulating user preferences in many-objective problems by sampling the weighted hypervolume. In: Proceedings of the 11th annual conference on genetic and evolutionary computation, ACM, pp 555–562
2. Caponio A, Neri F (2009) Integrating cross-dominance adaptation in multi-objective memetic algorithms. Springer, Berlin
3. Deb K (1999) Multi-objective genetic algorithms: problem difficulties and construction of test problems. Evolut Comput 7:205–230
4. Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, Hoboken
5. Deb K, Kumar A (2007) Light beam search based multi-objective optimization using evolutionary algorithms. In: 2007 IEEE congress on evolutionary computation (CEC), pp 2125–2132
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