Titlebook: Applications of Evolutionary Computation; EvoApplications 2011 Cecilia Chio,Anthony Brabazon,A. Şima Uyar Conference proceedings 2011 Sprin

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insurrection

On Improving the Capacity of Solving Large-scale Wireless Network Design Problems by Genetic Algorituence, scarce radio resources, such as frequencies, became congested and the need for effective and efficient assignment methods arose. In this work, we present a . for solving large instances of the ., arising in the design of wireless networks. To our best knowledge, this is the first Genetic Algo

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Ant-Based Multipath Routing for Wireless Mesh Networks improve the capacity. One approach is to spread the load along multiple paths. Results achieved in wired networks using ant-based systems for this purpose make them attractive candidates. However, applying similar techniques directly to WMNs may be counter-productive due to the characteristics of m

新娘

A Multiobjective Gravitational Search Algorithm Applied to the Static Routing and Wavelength Assignm set of demands, the problem of setting up all connection requests is known as Routing and Wavelength Assignment (RWA) problem. In this work, we suggest the use of computational swarm intelligent for solving the RWA problem. A new heuristic based on the law of gravity and mass interactions (Gravitat

gruelling

A Population Based Incremental Learning for Delay Constrained Network Coding Resource Minimizationg nodes in network but also increase data transmission delay. On the other hand, delay constraint must be concerned particularly in delay sensitive applications, e.g. video conferencing. In this paper, we study the problem of minimizing the amount of coding operations required while meeting the end-

Melatonin

Extremal Optimization Applied to Task Scheduling of Distributed Java Programsion (EO) combined with task clustering. Two new scheduling algorithms are presented and compared. The first employs task clustering to reduce an initial program graph and then applies extremal optimization to schedule the reduced program graph to system resources. The second algorithm applies task c

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Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Timr, the method used in such a problem is to apply a very powerful natural computing analysis tool, namely evolutionary neural networks, based on the joint evolution of the topology and the connection weights together with a novel similarity-based crossover, to a couple of very liquid financial time s

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