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» Fast heuristics for large scale covering-location problems
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GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 3 months ago
Techniques for highly multiobjective optimisation: some nondominated points are better than others
The research area of evolutionary multiobjective optimization (EMO) is reaching better understandings of the properties and capabilities of EMO algorithms, and accumulating much e...
David W. Corne, Joshua D. Knowles
69
Voted
RECOMB
1998
Springer
15 years 1 months ago
The hierarchical organization of molecular structure computations
The task of computing molecular structure from combinations of experimental and theoretical constraints is expensive because of the large number of estimated parameters (the 3D co...
Cheng Che Chen, Jaswinder Pal Singh, Russ B. Altma...
ISQED
2002
IEEE
111views Hardware» more  ISQED 2002»
15 years 2 months ago
Optimization of the Power/Ground Network Wire-Sizing and Spacing Based on Sequential Network Simplex Algorithm
This paper presents a fast algorithm to optimize both the widths and lengths of power/ground networks under reliability and power dip/ground bounce constraints. The spacesizing wh...
Ting-Yuan Wang, Charlie Chung-Ping Chen
93
Voted
IPPS
2009
IEEE
15 years 4 months ago
Coupled placement in modern data centers
We introduce the coupled placement problem for modern data centers spanning placement of application computation and data among available server and storage resources. While the t...
Madhukar R. Korupolu, Aameek Singh, Bhuvan Bamba
INFOCOM
2000
IEEE
15 years 1 months ago
A Modular Approach to Packet Classification: Algorithms and Results
The ability to classify packets according to pre-defined rules is critical to providing many sophisticated value-added services, such as security, QoS, load balancing, traffic acco...
Thomas Y. C. Woo