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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 8 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2007
Springer
256views Optimization» more  GECCO 2007»
15 years 8 months ago
A particle swarm optimization approach for estimating parameter confidence regions
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires de...
Praveen Koduru, Stephen Welch, Sanjoy Das
LPNMR
2004
Springer
15 years 7 months ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf
IJCAI
2007
15 years 3 months ago
Constructing New and Better Evaluation Measures for Machine Learning
Evaluation measures play an important role in machine learning because they are used not only to compare different learning algorithms, but also often as goals to optimize in cons...
Jin Huang, Charles X. Ling
AISB
1995
Springer
15 years 5 months ago
Specialised Recombinative Operators for Timetabling Problems
This paper discusses a series of recombination operators for the timetabling problem. These operators act upon a direct representation of the timetable and maintain the property of...
Edmund K. Burke, Dave Elliman, Rupert F. Weare