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IPCO
2008
221views Optimization» more  IPCO 2008»
15 years 8 months ago
A Comparative Study of Linear and Semidefinite Branch-and-Cut Methods for Solving the Minimum Graph Bisection Problem
Abstract. Semidefinite relaxations are known to deliver good approximations for combinatorial optimization problems like graph bisection. Using the spectral bundle method it is pos...
Michael Armbruster, Marzena Fügenschuh, Chris...
JSAT
2006
114views more  JSAT 2006»
15 years 6 months ago
Semidefinite Optimization Approaches for Satisfiability and Maximum-Satisfiability Problems
Semidefinite optimization, commonly referred to as semidefinite programming, has been a remarkably active area of research in optimization during the last decade. For combinatoria...
Miguel F. Anjos
NCA
2008
IEEE
15 years 6 months ago
Neurodynamic programming: a case study of the traveling salesman problem
The paper focuses on the study of solving the large-scale traveling salesman problem (TSP) based on neurodynamic programming. From this perspective, two methods, temporal differenc...
Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan, Derong ...
EOR
2002
105views more  EOR 2002»
15 years 6 months ago
Two-dimensional packing problems: A survey
We consider problems requiring to allocate a set of rectangular items to larger rectangular standardized units by minimizing the waste. In two-dimensional bin packing problems the...
Andrea Lodi, Silvano Martello, Michele Monaci
ICPR
2002
IEEE
16 years 7 months ago
A Fast Leading Eigenvector Approximation for Segmentation and Grouping
We present a fast non-iterative method for approximating the leading eigenvector so as to render graph-spectral based grouping algorithms more efficient. The approximation is base...
Antonio Robles-Kelly, Sudeep Sarkar, Edwin R. Hanc...