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Titlebook: Advances in Nature-Inspired Computing and Applications; Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Book 2019 Springer Internationa

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,A Hybrid Bio—Inspired Algorithm for Protein Domain Problems,Overview:
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The Path Forward: Making Change Happen,method employs a hybrid approach that combines nature-inspired optimization with cyber risk modeling and simulation to construct candidate architectures, evaluate them, and intelligently search the space of possible architectures to hone in on effective ones. We implement the method in a prototype d
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Silvia Serrao-Neumann,Anne Coudrainn on a dedicated hardware. Its performance is then evaluated with several fixed-point simulations in terms of beamforming accuracy and computational overheads under both Additive White Gaussian Noise (AWGN) and Rayleigh fading channel conditions. These results corroborate its competency comparable t
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Edward A. Morgan,Gabriela Marques Di Giulioue with head duties. In this chapter, we present a performance comparison of three state-of-the-art MOEAs, namely NSGA-II, SMS-EMOA, and MOEA/D for the cluster-head selection problem in Wireless Sensor Networks.
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https://doi.org/10.1007/978-3-319-20161-0m the group of evolutionary and swarm intelligence algorithms, in order to achieve the best value of the economic criterion defined as a linear combination of two opposed criteria: minimal average waiting time per vessel and minimal number of empty lockages (lockages without a vessel in a chamber).
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https://doi.org/10.1007/978-3-319-20161-0on varied workflow procedures. On the other hand, the ACO is used to effectively establish the most cost-effective path whenever each transmitter has to be searched to identify whether it possesses the requested service(s). Furthermore, we design and implement the Link Collision Reduction (LCR) algo
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