Titlebook: Variation Tolerant On-Chip Interconnects; Ethiopia Enideg Nigussie Book 2012 Springer Science+Business Media, LLC 2012 Analog Circuits and

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ncy of Partial-ACO. For real-world fleet optimisation problems of up to 45 vehicles and 437 jobs reductions in fleet traversal of approximately 50% are achieved with much less computational cost enabling larger scale problems to be tackled. Moreover, CO. and NO. emissions are cut by 3.75 Kg and 1.71

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Ethiopia Enideg Nigussienamics model. However, it is challenging to achieve good accuracy on dynamics models for highly complex domains due to stochasticity and compounding noise in the system. A majority of model-based RL focuses on dynamics models that derive policies from observation space. Deriving policies from observ

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Ethiopia Enideg Nigussiet agency. We advocate an approach whereby prices are chosen as a convex combination of the agency’s internal estimate and that of the prediction market. We argue that this will substantially reduce the cognitive burden for the government agency and improve the accuracy, speed and scalability of pric

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Ethiopia Enideg Nigussieers of the CNN architecture. Gradient Descent, Back Propagation, Genetic Algorithm, Adam Optimization, and so on are some of them. The CNN architecture was trained using a variety of population-based search and evolutionary computing (EC) methodologies. Genetic algorithms, differential evolution, an

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Ethiopia Enideg Nigussieroposed algorithms’ performance is tested using Matlab software. The simulation result shows that the proposed method achieved preferable reference trajectory tracking with a minimum tracking error. The proposed controller outperforms the GA-based backstepping plus PID controller in terms of root-me

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Ethiopia Enideg Nigussietificial intelligence for non-specialist readers, while providing an introduction to state-of-the-art developments. It seeks to use AI concepts to illuminate the practical and theoretical concerns of institutions and organisations, opening up possibilities for new areas of collaborative work, and re

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reduced road use leads to lower emissions and improved air quality. Heuristic approaches such as Ant Colony Optimisation (ACO) are effective at solving fleet optimisation but scale poorly when dealing with larger fleets. The Partial-ACO technique has substantially improved ACO’s capacity to optimise