In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
Deterministic optimization approaches have been well developed and widely used in the process industry to accomplish off-line and on-line process optimization. The challenging tas...
Automated diagnosis of errors detected during software testing can improve the efficiency of the debugging process, and can thus help to make software more reliable. In this pape...
Peter Zoeteweij, Rui Abreu, Rob Golsteijn, Arjan J...
Abstract— In a fading broadcast channel (BC), Queue Proportional Scheduling (QPS) is presented via geometric programming (GP). Given the current queue state, QPS allocates a data...