Titlebook: Nature-Inspired Computing and Optimization; Theory and Applicati Srikanta Patnaik,Xin-She Yang,Kazumi Nakamatsu Book 2017 Springer Internat

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Multimodal Function Optimization Using an Improved Bat Algorithm in Noise-Free and Noisy Environmenapplicability and effective search strategies. In this chapter, we assess the ability of an improved bat algorithm (IBA) to solve multimodal problems in noise-free and additive white Gaussian noise (AWGN) environments. Numerical results are presented to show that the IBA can successfully locate mult

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,Hybridization of the Flower Pollination Algorithm—A Case Study in the Problem of Generating Healthye comparatively evaluated the state-of-the-art Flower Pollination Algorithm, adapted to our problem of generating menu recommendations, versus the hybridized algorithm variant. Experiments have been performed in the context of a food ordering system experimental prototype using a large knowledge bas

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Adaptive Virtual Topology Control Based on Attractor Selection,network conditions. Unlike current heuristic virtual topology control methods developed in the area of engineering, our method does not rely on pre-defined algorithms and uses stochastic behaviors for adapting to changes in network environments. The simulation results indicate that our virtual topol

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