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COMPSAC
2004
IEEE
15 years 10 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
ATAL
2008
Springer
15 years 8 months ago
MB-AIM-FSI: a model based framework for exploiting gradient ascent multiagent learners in strategic interactions
Future agent applications will increasingly represent human users autonomously or semi-autonomously in strategic interactions with similar entities. Hence, there is a growing need...
Doran Chakraborty, Sandip Sen
CORR
2004
Springer
113views Education» more  CORR 2004»
15 years 6 months ago
A General Framework for Bounds for Higher-Dimensional Orthogonal Packing Problems
Higher-dimensional orthogonal packing problems have a wide range of practical applications, including packing, cutting, and scheduling. In the context of a branch-and-bound framewo...
Sándor P. Fekete, Jörg Schepers
ERSA
2008
185views Hardware» more  ERSA 2008»
15 years 8 months ago
Design Framework for Partial Run-Time FPGA Reconfiguration
Partial reconfiguration (PR) reveals many opportunities for integration into FPGA design for potential system optimizations such as reduced area, increased performance, and increa...
Chris Conger, Ann Gordon-Ross, Alan D. George
ICTAI
1997
IEEE
15 years 10 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III