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Traffic Engineering using Multipath Routing Approaches
Published 2008Get full text
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Multiobjective in-core fuel management optimisation for nuclear research reactors
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The design of public transit networks with heuristic algorithms : case study Cape Town
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Reinforcement learning microservices scheduler in intelligent edge computing
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Decentralized algorithm of dynamic task allocation for a swarm of homogeneous robots
Published 2017“…The main contribution in this thesis is to maximize the overall efficiency of the system by minimizing the total time needed to accomplish the dynamic task allocation problem. The near-optimal allocation schemes are found using a novel hybrid decentralized algorithm for a dynamic task allocation in a swarm of homogeneous robots, where the number of the tasks is more than the robots present in the system. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems
Published 2025“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Machine learning methods for large deviations
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Inclusion of input saturation in the design of dynamically operable plants
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Effect of Variation in Physical and Mechanical Properties of Reinforcing Steel on Post-Construction Parameters of Buildings in Nigeria
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Inter-cell interference coordination in 5G ultra-dense networks
Published 2021“…Conventionally, the formulated optimization is transformed from non-convex to convex problem. …”
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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks
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An algorithmic approach to continuous location
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Hierarchical model predictive control of a venlo-type greenhouse
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Fitness Landscape Analysis for the Differential Evolution Algorithm
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An investigation into the use of the vanadium redox flow energy storage system for peak-shaving and load-leveling
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments
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Design and optimisation of a low cost Cognitive Mesh Network
Published 2017“…Recent developments in TV white space communications technology and the emergence of Cognitive radio devices that facilitate Dynamic Spectrum Access (DSA) have provided an opportunity to mitigate the spectrum scarcity problem. To solve the scarcity problem, this thesis reconsiders the classical Network Engineering (NE) and Traffic Engineering (TE) problems to objectively design a low cost Cognitive Mesh network that promotes efficient resources utilization and thereby achieve better Quality of Service (QoS) levels.…”
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