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» Heuristic Methods for Solving Job-Shop Scheduling Problems
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141
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CIS
2008
Springer
15 years 5 months ago
A Near-Optimal Redundancy Allocation Strategy that Minimizes a System's Vulnerability to Hazardous Events and Malicious Attacks
Delivering continuous services in information infrastructures is a major challenge. For system or network administrators, redundancy allocation is one of the best strategies to en...
Frank Yeong-Sung Lin, Po-Hao Tsang, Kun-Dao Jiang
156
Voted
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 9 months ago
A new evolutionary model for detecting multiple optima
Multimodal optimization problems consist in detecting all global and local optima of a problem. A new evolutionary approach to multimodal optimization called Roaming technique (RO...
Rodica Ioana Lung, D. Dumitrescu
ATAL
2009
Springer
15 years 10 months ago
Evaluating hybrid constraint tightening for scheduling agents
Hybrid Scheduling Problems (HSPs) combine temporal and finite-domain variables via hybrid constraints that dictate that specific bounds on temporal constraints rely on assignments...
James C. Boerkoel Jr., Edmund H. Durfee
124
Voted
ISCAS
2003
IEEE
91views Hardware» more  ISCAS 2003»
15 years 9 months ago
SDP for multi-criterion QMF bank design
Quadraturemirror filter(QMF)bank with multi-criterion constraints suchas minimal aliasing and/or minimal error coding is amongthe most important problems in filter bank design, fo...
H. D. Tuan, L. H. Nam, H. Tuy, T. Q. Nguyen
ACML
2009
Springer
15 years 7 months ago
Max-margin Multiple-Instance Learning via Semidefinite Programming
In this paper, we present a novel semidefinite programming approach for multiple-instance learning. We first formulate the multipleinstance learning as a combinatorial maximum marg...
Yuhong Guo