Monday, 29 October 2012

Preventing premature convergence in genetic algorithms


ESHELMAN, L. J. AND SCHAFFER, J. D. 1991. Preventing premature convergence in genetic algorithms by preventing incest. In Proceedings of the Fourth International Conference on Genetic
Algorithms (Univ. of California, San Diego, July 13-16,), R. K. Belew and L. B.
Booker, Eds. Morgan Kaufmann Publishers Inc., San Francisco, CA, 115–122.

 A parallel genetic algorithm for multiobjective microprocessor design

STANLEY, T. J. AND MUDGE, T. 1995. A parallel genetic algorithm for multiobjective microprocessor
design. In Proceedings of the Sixth International Conference on Genetic Algorithms (University of Pittsburgh), L. J. Eshelman, Ed. Morgan Kaufmann, San Mateo, CA, 597– 604.



HAJELA, P. AND LEE, J. 1996. Constrained genetic search via scheme adaptation: An immune
network solution. Structural Optim. 12, 1, 11–15.

Multicriteria design optimization by goal programming


SANDGREN, E. 1994. Multicriteria design optimization by goal programming. In Advances in
Design Optimization, H. Adeli, Ed. Chapman & Hall, London, UK, 225–265.

 Micro-blog Mapcasting from mobile

S. Gaonkar and R. R. Choudhury, “Micro-blog Mapcasting from mobile phones to virtual sensor
maps,” in ACM Sensys, 2007.

A model of multiattribute decision-making and tradeoff weight


WHITE, C., SAGE, A., AND DOZONO, S. 1984. A model of multiattribute decision-making and
tradeoff weight determination under uncertainty. IEEE Trans. Syst. Man Cybern. SMC-14, 223–229.

Multiobjective optimization in structural design: The model choice problem


DUCKSTEIN, L. 1984. Multiobjective optimization in structural design: The model choice problem. In New Directions in Optimum Structural Design, E. Atrek, R. H. Gallagher, K. M. Ragsdell, and O. C. Zienkiewicz, Eds. John Wiley and Sons, Inc., New York, NY, 459–481.

Uber algorithmen zur

BAIER, H. 1977. Uber algorithmen zur ermittlung und charakterisierung pareto-optimaler losungen bei entwurfsaufgaben elastischer tragwerke. Zamm 57, 22, 318–320.

Link Adaptation for Real-time Video Streaming 


I. Haratcherev, K. Langendoen, R. Lagendijk and H. Sips. Fast 802.11 Link Adaptation for Real-time Video Streaming by Cross-Layer Signaling. ISCAS, 2005.


Coupling genetic algorithms and gradient based optimization techniques


QUAGLIARELLA, D. AND VICINI, A. 1995. Coupling genetic algorithms and gradient based optimization techniques. In Genetic Algorithms and Evolution Strategies in Engineering and Computer
Science: Recent Advances and Industrial Applications, D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, Eds. John Wiley and Sons Ltd., Chichester, UK, 289–309.

Two new GA-based methods for multiobjective optimization

COELLO, C. A. C. AND CHRISTIANSEN, A. D. 1998. Two new GA-based methods for multiobjective
optimization. Civil Eng. Syst. 15, 3, 207– 243.


QUAGLIARELLA, D., PÉRIAUX, J., POLONI, C., AND WINTER, G., EDS. 1995. Genetic Algorithms and Evolution Strategies in Engineering and Computer Science: Recent Advances and Industrial Applications. John Wiley and Sons Ltd., Chichester, UK.

Comparing algorithms for dynamic speed-setting of a low-power CPU

Govil, K., Chan, E., and Wasserman, H. Comparing algorithms for dynamic speed-setting of a low-power CPU. In Proceedings of the First International Conference on Mobile Computing and Networking, pp. 13-25. Berke­ley, CA: ACM Press, Nov. 1995; http://portal.acm.org/ ft_gateway.cfm?id=215546&type=pdf 

OpenDHT: A Public DHT Service and Its Uses


S. Rhea, B. Godfrey, B. Karp, J. Kubiatowicz, S. Ratnasamy, S. Shenker, I. Stoica, and H. Yu, ”OpenDHT: A Public DHT Service and Its Uses,” Proc. ACM SIGCOMM 2005.

  

A Message Ferrying Approach

W. Zhao, M. Ammar, and E. Zegura, ”A Message Ferrying Approach for Data Delivery in Sparse Mobile Ad HocNetworks,” Proc. ACM MOBIHOC 2004.

Peoplenet: engineering a wireless virtual social network


M. Motani, V. Srinivasan, and P. S. Nuggehalli, “Peoplenet: engineering a wireless virtual social
network,” in MobiCom. New York, NY, USA: ACM, 2005, pp. 243–257.


Tussle in cyberspace:  Defining tomorrow’s Internet

CLARK, D., WROCLAWSKI, J., SOLLINS, K., AND BRADEN, R. 2005. Tussle in cyberspace:  Defining tomorrow’s Internet. IEEE/ACM Trans. Netw. 13, 462–475.

Preserving the architecture of the  Internet in the broadband era


LEMLEY, M. A. AND LESSIG, L. 2001. The end of end-to-end: Preserving the architecture of the  Internet in the broadband era. UCLA Law Rev. 48, 925–972. http://ssrn.com/abstract=259491.

Using genetic algorithms in engineering design optimization with non-linear constraints


POWELL, D. AND SKOLNICK, M. M. 1993. Using genetic algorithms in engineering design optimization
with non-linear constraints. In Proceedings of the Fifth International Conference on Genetic Algorithms (University of Illinois at Urbana-Champaign), S. Forrest, Ed. Morgan Kaufmann, San Mateo, CA, 424–431.

The effect of genetic algorithm selection mechanisms on multicriteria optimization using the distance method

 KUNDU, S. AND OSYCZKA, A. 1996. The effect of genetic algorithm selection mechanisms on
multicriteria optimization using the distance method. In Proceedings of the Fifth International Conference on Intelligent Systems (Reno, NV). ISCA, 164–168.

From informing to remembering: Ubiquitous systems in interactive museums

Fleck, M., Frid, M., Kindberg, T., O’Brien-Strain, E., Rakhi Rajani, R., and Spasojevic, M. From informing to remembering: Ubiquitous systems in interactive museums. IEEE Pervasive Computing 1, 2 (Apr.–June 2002), 13–21.