Evolutionary Computation on Complex Spatially-Distributed Networks

被引：0
|
作者：
Pilat, Marcin L. [1 ]
Pestov, Irene [1 ]
机构：
[1] Def R&D Canada, Ctr Operat Res & Anal, Ottawa, ON K1A 0K2, Canada
来源：
GECCO-2010 COMPANION PUBLICATION: PROCEEDINGS OF THE 12TH ANNUAL GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE | 2010年
关键词：
Socio-technical networks; performance measures; optimization; genetic algorithms;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we describe a new computational approach to optimize the architecture of complex spatially-distributed networks. The proposed approach is based on an evolutionary search of "what-if" networks generated from a seed network. A genetic algorithm optimizes the network toward certain objective measures. The utility of the proposed method is illustrated on an example using the Canadian Search and Rescue capability for the High North region.
引用
收藏
页码：2107 / 2108
页数：2
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