Introduction - Multiobjective Optimization Methodology: A Jumping Gene Approach - page 6

oftheSixthInternationalConferenceonParallelProblemSolvingfromNature ,.Paris,.
September.2000,.849-858.
. 18.. Deb,.K.,.Pratap,.A.,.Agrawal,.S.,.Meyarivan,.T.,.A.fast.and.elitist.multiobjective.
genetic.algorithm:.NSGA-II,. IEEETransactionsonEvolutionaryComputation ,.6(2),.
182-197,.2002.
. 19.. Easton,.F.,.Mansour,.N.,.A.distributed.genetic.algorithm.for.deterministic.and.
stochastic. labor. scheduling. problems,. European Journal of Operational Research ,.
118(3),.505-523,.1999.
. 20.. Erickson,.M.,.Mayer,.A.,.Horn,.J.,.The.niched.Pareto.genetic.algorithm.2.applied.
to. the. design. of. groundwater. remediation. systems,. in. Proceedings of the First
International Conference on Evolutionary Multi-Criterion Optimization ,. Zurich,.
March.2001,.681-695.
. 21.. Eshelman,.L..J.,.The.CHC.adaptive.search.algorithm:.How.to.have.safe.search.
when.engaging.in.nontraditional.genetic.recombination,.in. ProceedingsofFirst
Workshop on Foundations of Genetic Algorithms ,. Bloomington. Campus,. IN,. July.
1990,.265-283.
. 22.. Eshelman,. L.. J.,. Schaffer,. J.. D.,. Preventing. premature. convergence. in. genetic.
algorithms.by.preventing.incest,.in. ProceedingsofFourthInternationalConference
onGeneticAlgorithms ,.San.Diego,.July.1991,.115-122.
. 23.. Falcão,.O.,.Borges,.J..G.,.Designing.an.evolution.program.for.solving.integer.for-
est.management.scheduling.models:.An.application.in.Portugal,. ForestScience ,.
47(2),.158-168,.2001.
. 24.. Fedoroff,.N.,.Botstein,.D..(Eds.),. TheDynamicGenome:BarbaraMcClintock'sIdeas
intheCenturyofGenetics ,.New.York:.Cold.Spring.Harbor.Laboratory.Press,.1992.
. 25.. Fonseca,. C.. M.,. Fleming,. P.. J.,. Multiobjective. optimization. and. multiple. con-
straint. handling. with. evolutionary. algorithms—Part. I:.A. uniied. formulation,.
IEEE Transactions on System, Man and Cybernetic Part A: Systems and Humans ,.
28(1),.26-37,.1998.
. 26.. Fonseca,. C.. M.,. Fleming,. P.. J.,. Genetic. algorithms. for. multiobjective. optimi-
zation:. formulation,. discussion. and. generalization,. in. Proceedings of the Fifth
InternationalConferenceonGeneticAlgorithms ,.Fairfax,.Virginia,.June.1989,.2-9.
. 27.. Goldberg,.D..E.,.Richardson,.J.,.Genetic.algorithms.with.sharing.for.multimodal.
function.optimization,. ProceedingsoftheSecondInternationalConferenceonGenetic
Algorithms ,.Cambridge,.MA,.July.1987,.41-49.
. 28.. Gudmundsson,. M.,. El-Kwae,. E..A.,. Kabuka,. M.. R.,. Edge. detection. in. medical.
images. using. a. genetic. algorithm,. IEEE Transactions on Medical Imaging ,. 17(3),.
469-474,.1998.
. 29.. Hillis,. W.. D.,. Co-evolving. parasites. improve. simulated. evolution. as. an. opti-
mization. procedure,. in. Proceedings of the Ninth Annual International Conference
of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative
PhenomenainNaturalandArtiicialComputingNetworksonEmergentComputation ,.
Los.Alamos,.NM,.May.1989,.228-234.
. 30.. Holland,.J..H.,. AdaptationinNaturalandArtiicialSystems ,.Ann.Arbor,.MI:.MIT.
Press,.1975.
. 31.. Hryshko,.A.,.Downs,.T.,.An.implementation.of.genetic.algorithms.as.a.basis.for.
a.trading.system.on.the.foreign.exchange.market,.in. ProceedingsofCongresson
EvolutionaryComputation ,.Canberra,.December.2003,.3,.1695-1701.
. 32.. Ireland,. G.,. Using. a. genetic. algorithm. to. investigate. two-nucleon. knockout.
reactions,. JournalofPhysicsG:NuclearandParticlePhysics ,.26(2),.157-166,.2000.