%0 Conference Paper %1 Thonemann:1994:SAGP %A Thonemann, Ulrich Wilhelm %B Proceedings of the 1994 IEEE World Congress on Computational Intelligence %C Orlando, Florida, USA %D 1994 %I IEEE Press %K QAP. algorithms, annealing, assignment genetic problem programming, quadratic simulated %P 391--395 %T Finding improved simulated annealing schedules with genetic programming %V 1

@inproceedings{Thonemann:1994:SAGP, added-at = {2008-06-19T17:46:40.000+0200}, address = {Orlando, Florida, USA}, author = {Thonemann, Ulrich Wilhelm}, biburl = {https://www.bibsonomy.org/bibtex/2325de4e079bc70a3a50e408349cef930/brazovayeye}, booktitle = {Proceedings of the 1994 IEEE World Congress on Computational Intelligence}, interhash = {bc91702732538c04b25679b176d4450b}, intrahash = {325de4e079bc70a3a50e408349cef930}, keywords = {QAP. algorithms, annealing, assignment genetic problem programming, quadratic simulated}, month = {27-29 June}, notes = {Uses GP to generate cooling schedule for simulated annealing. Demonstrates this on a series of QAP and compares very favorably with published QAP results. GP fitness found by runining simulated annealing, so end up doing loads of work. Best cooling schedules found are problem dependant but several are highly oscillitary and most dont drop to zero!}, pages = {391--395}, publisher = {IEEE Press}, size = {6 pages}, timestamp = {2008-06-19T17:53:08.000+0200}, title = {Finding improved simulated annealing schedules with genetic programming}, volume = 1, year = 1994 }