Abstract
This paper proposes parallel asynchronous versions of promising multiobjective evolutionary algorithms, implemented over a network of personal computers, with the aim of designing an optimal telecommunication network in the presence of multiple conflicting objectives as cost and performance. The resulting tool provides a set of Pareto optimal solutions, facilitating the decision making process of designing a telecommunication network with a mix of different technologies.
Cite
CITATION STYLE
Flores, S. D., Cegla, B. B., & Cáceres, D. B. (2003). Telecommunication network design with parallel multi-objective evolutionary algorithms. In IFIP/ACM Latin America Networking Conference 2003: Towards a Latin American Agenda for Network Research (pp. 1–11). Association for Computing Machinery. https://doi.org/10.1145/1035662.1035663
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