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Titlebook: Leading processes to lead companies: Lean Six Sigma; Kaizen Leader & Gree Gabriele Arcidiacono,Claudio Calabrese,Kai Yang Book 2012 Springe

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Gabriele Arcidiacono,Claudio Calabrese,Kai Yangnch-and-Cut (B&C) as implemented in CPLEX, with the GA as we implement it here, is therefore suggested. This hybrid method retains the accuracy of Branch-and-Cut and the efficiency of GA. Numerical results obtained with the three approaches on a representative set of instances of the problem are rep
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ast enhancement of images by utilizing a type-2 fuzzy system and TCO. Initially two sub-images from the input image, named lower and upper in the fuzzy domain, are determined by a type-2 fuzzy system. The S-shape membership function is used for fuzzification. Then an objective function such as fuzzy
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ACO) and greedy randomized adaptive search procedures (GRASP). These techniques construct solutions probabilistically by sampling a probability distribution over the search space. Solution constructions are sequential and independent from each other. Moreover, greedy information is used in a probabi
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Gabriele Arcidiacono,Claudio Calabrese,Kai Yangintroduced to address this problem. The formulation of this problem stretches from managing critical blood shortage levels and blood unit expiration, to blood compatibility between donor and patients. Another contributing factor to the blood assignment problem, lies in the blood bank having to impor
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Gabriele Arcidiacono,Claudio Calabrese,Kai Yangor, and the well-known genetic algorithms (GAs), through two implementations, namely: the GA of Scilab (SGA); and the GA of the R Project for Statistical Computing (RGA). For this purpose, we have selected a set of multimodal objective functions in the .-dimensional Euclidean space . with a unique g
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