Cite
Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism.
MLA
Hutchison, David, et al. “Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-Elitist Evolutionary Multi-Agent System Using Distributed and Decentralized Frontier Crowding Mechanism.” Adaptive & Natural Computing Algorithms (9783540715894), 2007, pp. 138–47. EBSCOhost, https://doi.org/10.1007/978-3-540-71618-1_16.
APA
Hutchison, D., Kanade, T., Kittler, J., Kleinberg, J. M., Mattern, F., Mitchell, J. C., Naor, M., Nierstrasz, O., Rangan, C. P., Steffen, B., Sudan, M., Terzopoulos, D., Tygar, D., Vardi, M. Y., Weikum, G., Beliczynski, B., Dzielinski, A., Iwanowski, M., Ribeiro, B., & Siwik, L. (2007). Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-elitist Evolutionary Multi-agent System Using Distributed and Decentralized Frontier Crowding Mechanism. In Adaptive & Natural Computing Algorithms (9783540715894) (pp. 138–147). https://doi.org/10.1007/978-3-540-71618-1_16
Chicago
Hutchison, David, Takeo Kanade, Josef Kittler, Jon M. Kleinberg, Friedemann Mattern, John C. Mitchell, Moni Naor, et al. 2007. “Improving the Quality of the Pareto Frontier Approximation Obtained by Semi-Elitist Evolutionary Multi-Agent System Using Distributed and Decentralized Frontier Crowding Mechanism.” In Adaptive & Natural Computing Algorithms (9783540715894), 138–47. doi:10.1007/978-3-540-71618-1_16.