REFERENCES
Ackley, D. H. (1987). A connectionist machine for genetic
hillclimbing. Kluwer Academic Publishers, Norwell,
MA, USA.
Alba, E. and Troya, J. M. (1999). A survey of parallel dis-
tributed genetic algorithms. Complexity, 4(4):31–52.
Arenas, M. G., Collet, P., Eiben, A. E., Jelasity, M.,
Guerv´os, J. J. M., Paechter, B., Preuß, M., and Schoe-
nauer, M. (2002). A framework for distributed evo-
lutionary algorithms. In PPSN VII: Proceedings of
the 7th International Conference on Parallel Problem
Solving from Nature, pages 665–675, London, UK.
Springer-Verlag.
Back, T. (1992). Self-adaptation in genetic algorithms. In
Proceedings of the First European Conference on Ar-
tificial Life, pages 263–271. MIT Press.
Belding, T. C. (1995). The distributed genetic algorithm re-
visited. In Proceedings of the 6th International Con-
ference on Genetic Algorithms, pages 114–121, San
Francisco, CA, USA. Morgan Kaufmann Publishers
Inc.
Cant-Paz, E. (1998). A survey of parallel genetic algo-
rithms. Calculateurs Paralleles, 102.
Clune, J., Goings, S., Punch, B., and Goodman, E. (2005).
Investigations in meta-gas: panaceas or pipe dreams?
In GECCO ’05: Proceedings of the 2005 workshops
on Genetic and evolutionary computation, pages 235–
241, New York, NY, USA. ACM.
Eiben, A. E., Hinterding, R., Hinterding, A. E. E. R., and
Michalewicz, Z. (2000). Parameter control in evolu-
tionary algorithms. IEEE Transactions on Evolution-
ary Computation, 3:124–141.
Foster, I., Zhao, Y., Raicu, I., and Lu, S. (2008). Cloud com-
puting and grid computing 360-degree compared. In
Grid Computing Environments Workshop, 2008. GCE
’08, pages 1–10.
Goldberg, D. (1989). Genetic Algorithms in Search, Op-
timization, and Machine Learning. Addison-Wesley,
Reading, MA.
Grefenstette, J. (1986). Optimization of control parame-
ters for genetic algorithms. IEEE Transactions on Sys-
tems, Man and Cybernetics, 16(1):122–128.
Hesser, J. and M¨anner, R. (1991). Towards an optimal mu-
tation probability for genetic algorithms. In PPSN I:
Proceedings of the 1st Workshop on Parallel Prob-
lem Solving from Nature, pages 23–32, London, UK.
Springer-Verlag.
Holland, J. (1975). Adaptation in Natural and Artificial Sys-
tems. University of Michigan Press, Ann Arbor, MI.
Kisiel-Dorohinicki, M., Socha, K., and Communication, S.
T. E. (2001). Crowding factor in evolutionary multi-
agent system for multiobjective optimization. In Pro-
ceedings of IC-AI01 International Conference on Ar-
tificial Inteligence. CSREA Press.
Lim, D., Ong, Y.-S., Jin, Y., Sendhoff, B., and Lee, B.-S.
(2007). Efficient hierarchical parallel genetic algo-
rithms using grid computing. Future Gener. Comput.
Syst., 23(4):658–670.
Meyer-Nieberg, S. and Beyer, H.-G. (2006). Self-adaptation
in evolutionary algorithms. In Parameter Setting in
Evolutionary Algorithm, pages 47–76. Springer.
Michalewicz, Z. (1996). Genetic algorithms + data struc-
tures = evolution programs (3rd ed.). Springer-Verlag,
London, UK.
Munawar, A., Wahib, M., Munetomo, M., and Akama, K.
(2008). A survey: Genetic algorithms and the fast
evolving world of parallel computing. High Perfor-
mance Computing and Communications, 10th IEEE
International Conference, pages 897–902.
Nowostawski, M. and Poli, R. (1999). Parallel genetic al-
gorithm taxonomy. In Proceedings of the Third Inter-
national, pages 88–92. IEEE.
Robertson, D. (2004a). A lightweight coordination calculus
for agent systems. In In Declarative Agent Languages
and Technologies, pages 183–197.
Robertson, D. (2004b). Multi-agent coordination as dis-
tributed logic programming. In International Confer-
ence on Logic Programming, Sant-Malo, France.
Robertson, D., Giunchiglia, F., van Harmelen, F., March-
ese, M., Sabou, M., Schorlemmer, M., Shadbolt, N.,
Siebes, R., Sierra, C., Walton, C., Dasmahapatra, S.,
Dupplaw, D., Lewis, P., Yatskevich, M., Kotoulas, S.,
de Pinninck, A. P., and Loizou, A. (2006). Open
knowledge semantic webs through peer-to-peer inter-
action. Technical Report DIT-06-034, University of
Trento.
Ross, P. and Corne, D. (1995). Applications of genetic al-
gorithms. In On Transcomputer Based Parallel Pro-
cessing Systems, Lecture.
Schwefel, H.-P. (1981). Numerical Optimization of Com-
puter Models. John Wiley & Sons, Inc., New York,
NY, USA.
Socha, K. and Kisiel-Dorohinicki, M. (2002). Agent-
based evolutionary multiobjective optimisation. In in
Proceedings of the Fourth Congress on Evolutionary
Computation, pages 109–114. press.
Tanese, R. (1989). Distributed genetic algorithms. In Pro-
ceedings of the third international conference on Ge-
netic algorithms, pages 434–439, San Francisco, CA,
USA. Morgan Kaufmann Publishers Inc.
Tuson, A. L. (1995). Adapting operator probabilities in ge-
netic algorithms. Technical report, Master’s thesis,
Evolutionary Computation Group, Dept. of Artificial
Intelligence, Edinburgh University.
Yoshihiro, E. T., Murata, Y., Shibata, N., and Ito, M. (2003).
Self adaptive island ga. In 2003 Congress on Evolu-
tionary Computation, pages 1072–1079.
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