Titlebook: Evolutionary Based Solutions for Green Computing; Samee Ullah Khan,Joanna Ko?odziej,Albert Y. Zomaya Book 2013 Springer-Verlag Berlin Heid

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,Exploiting Multi–Objective Evolutionary Algorithms for Designing Energy–Efficient Solutions to Dataenhouse gas emissions. Indeed, WSNs have already been successfully employed in applications such as intelligent buildings, smart grids and energy control systems, transportation and logistics, and precision agriculture. All these applications generally require the exchange of a large amount of data

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Evolutionary Green Computing Solutions for Distributed Cyber Physical Systems,and with compelling performance compared to heuristics in many domains. In this chapter we review several EA solutions for green DCPSs.We introduce three representative DCPS examples including Data Centers (DCs), Wireless Sensor Networks (WSNs), and Body Sensor Networks (BSN) and discuss several gre

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,Exploiting Multi–Objective Evolutionary Algorithms for Designing Energy–Efficient Solutions to Dataloration of node localization techniques aimed at estimating the positions of all sensor nodes of a WSN from the knowledge of the exact locations of a restricted number of these nodes, have attracted a large interest in the last years. In this chapter, we discuss how multi–objective evolutionary alg

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1860-949X total cost of operation is minimized) of their respective large-scale computing systems and simultaneously improve upon or maintain the current throughput of the system.?.This book in its eight chapters, addre978-3-642-43066-4978-3-642-30659-4Series ISSN 1860-949X Series E-ISSN 1860-9503

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A Non-linear Theory of the Cycle,and with compelling performance compared to heuristics in many domains. In this chapter we review several EA solutions for green DCPSs.We introduce three representative DCPS examples including Data Centers (DCs), Wireless Sensor Networks (WSNs), and Body Sensor Networks (BSN) and discuss several gre