- author = "Jerzy Marian Balicki",
- title = "Multi-Criterion Genetic Programming With Negative Selection for Finding {Pareto} Solutions",
- booktitle = "Proceedings of the Second International Conference on Software and Data Technologies, ICSOFT 2007",
- year = "2007",
- editor = "Joaquim Filipe and Boris Shishkov and Markus Helfert",
- pages = "120--127",
- address = "Barcelona, Spain",
- month = "22-25 " # jul,
- publisher = "INSTICC Press",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-989-8111-05-0",
-
URL = "
http://www.icsoft.org/Abstracts/2007/ICSOFT_2007_Abstracts.htm",
-
DOI = "
doi:10.5220/0001336201200127",
- abstract = "Multi-criterion genetic programming (MGP) is a relatively new approach for a decision making aid and it can be applied to determine the Pareto solutions. This purpose can be obtained by formulation of a multi-criterion optimization problem that can be solved by genetic programming. An improved negative selection procedure to handle constraints in the MGP has been proposed. In the test instance, both a workload of a bottleneck computer and the cost of system are minimized; in contrast, a reliability of the distributed system is maximized.",
-
notes = "http://www.icsoft.org/ICSOFT2007/Area3.htm Distributed
and Parallel Systems ICSOFT 2007 was held in
conjunction with ENASE 2007
Others www.lania.mx/~ccoello/EMOObib.html ?",
- bibdate = "2009-02-24",
- bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icsoft/icsoft2007-1.html#Balicki07",
