Search for dissertations about: "On Distributed Optimization in"
Showing result 1 - 5 of 192 swedish dissertations containing the words On Distributed Optimization in.
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1. On Distributed Optimization in Networked Systems
Abstract : Numerous control and decision problems in networked systems can be posed as optimization problems. Examples include the framework of network utility maximization for resource allocation in communication networks, multi-agent coordination in robotics, and collaborative estimation in wireless sensor networks (WSNs). READ MORE
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2. Distributed Optimization and Control : Primal--Dual, Online, and Event-Triggered Algorithms
Abstract : In distributed optimization and control, each network node performs local computation based on its own information and information received from its neighbors through a communication network to achieve a global objective. Although many distributed optimization and control algorithms have been proposed, core theoretical problems with important practical relevance remain. READ MORE
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3. Distributed Optimization in Time-Varying Environments
Abstract : Solving optimization problems in a distributed manner is critical in many systems. Many relevant systems are distributed in nature in the sense that they consist of autonomous agents that are to come to a joint decision based on a certain metric. READ MORE
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4. Multicriteria optimization for managing tradeoffs in radiation therapy treatment planning
Abstract : Treatment planning for radiation therapy inherently involves tradeoffs, such as between tumor control and normal tissue sparing, between time-efficiency and dose quality, and between nominal plan quality and robustness. The purpose of this thesis is to develop methods that can facilitate decision making related to such tradeoffs. READ MORE
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5. Distributed Optimization with Nonconvexities and Limited Communication
Abstract : In economical and sustainable operation of cyber-physical systems, a number of entities need to often cooperate over a communication network to solve optimization problems. A challenging aspect in the design of robust distributed solution algorithms to these optimization problems is that as technology advances and the networks grow larger, the communication bandwidth used to coordinate the solution is limited. READ MORE