Search for dissertations about: "Heuristic optimization"
Showing result 1 - 5 of 107 swedish dissertations containing the words Heuristic optimization.
-
1. Optimization of Joint Cell, Channel and Power Allocation in Wireless Communication Networks
Abstract : In this thesis we formulate joint cell, channel and power allocation problems within wireless communication networks. The objectives are to maximize the user with mini- mum data throughput (Shannon capacity) or to maximize the total system throughput, referred to as the max-min and max-sum problem respectively. READ MORE
-
2. Optimization, Design, and Analysis of Flexible-Grid Optical Networks with Physical-Layer Constraints
Abstract : The theme of this thesis is the optimization, design, and analysis of flexible-grid optical networks that are constrained by physical-layer impairments (PLIs). We consider three flexible-grid network scenarios. READ MORE
-
3. Accelerating Convergence of Large-scale Optimization Algorithms
Abstract : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. READ MORE
-
4. Applications of Resource Optimization in Wireless Networks
Abstract : The demand for wireless communications is increasing every year, but the available resources are not increasing at the same rate. It is very important that the radio resources are used in an efficient way allowing the networks to support as many users as possible. READ MORE
-
5. Dexterous Grasping : Representation and Optimization
Abstract : Many robot object interactions require that an object is firmly held, and that the grasp remains stable during the whole manipulation process. Based on grasp wrench space, this thesis address the problems of measuring the grasp sensitivity against friction changes, planning contacts and hand configurations on mesh and point cloud representations of arbitrary objects, planning adaptable grasps and finger gaiting for keeping a grasp stable under various external disturbances, as well as learning of grasping manifolds for more accurate reachability and inverse kinematics computation for multifingered grasping. READ MORE