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In recent years, a trend towards alternative random or more precisely pseudorandom number generators could have been observed, viz. non-uniform generators that are based on chaotic maps (e.g. Ikeda Map) and uniform generators that are based on linear recurrence (e.g. Xorshift). Especially, chaotic maps have shown their superiority over canonical pseudorandom number generators in different heuristics...
Chaotic maps are an alternative for calculating pseudorandom numbers which have created an increased interest among researchers dealing with stochastic search and optimization algorithms in the recent past. This interest is based on promising results with respect to both the quality of the results as well as the running time of the optimization algorithms compared to the usually used standard pseudorandom...
An Ikeda map embedded genetic algorithm is introduced in this research in order to solve the order picking problem. The chaos based algorithm is compared against the canonical pseudo-random number based genetic algorithm over thirty test instances of varying complexity. From the results, the chaos based genetic algorithm is shown to have better overall performance, especially for larger sized problem...
Consumer demand for enjoying any content anywhere, any time, and on any device is driving the need for reliable connectivity between content sources and consumption devices inside the home. A key content consumption device in the home is the TV. In this paper, we describe the connectivity challenges associated with Smart TVs to ensure a positive user experience and present some solutions that achieve...
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