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GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 7 months ago
Real-time construction of aircraft landing schedules using an evolutionary algorithm
This poster investigates the use of Evolutionary Algorithms (EAs) to optimise solutions to the Dynamic Aircraft Landing Problem (DALP). The approach adopted here uses an EA to evo...
Neil Urquhart
CDC
2009
IEEE
243views Control Systems» more  CDC 2009»
15 years 9 months ago
A distributed newton method for network optimization
— Most existing work uses dual decomposition and subgradient methods to solve network optimization problems in a distributed manner, which suffer from slow convergence rate prope...
Ali Jadbabaie, Asuman E. Ozdaglar, Michael Zargham
159
Voted
RTSS
1999
IEEE
15 years 8 months ago
Optimal Reward-Based Scheduling of Periodic Real-Time Tasks
Reward-based scheduling refers to the problem in which there is a reward associated with the execution of a task. In our framework, each real-time task comprises a mandatory and a...
Hakan Aydin, Rami G. Melhem, Daniel Mossé, ...
GLOBECOM
2006
IEEE
15 years 10 months ago
Topology Control for Constant Rate Mobile Networks
Abstract— Controlling the topology of a wireless ad hoc network is very important from the point of view of performance. One known technique for controlling the topology is throu...
Liang Zhao, Errol L. Lloyd, S. S. Ravi
ICML
2007
IEEE
16 years 5 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal