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CCGRID
2003
IEEE
15 years 10 months ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
CEC
2005
IEEE
15 years 10 months ago
Relationships between internal and external metrics in co-evolution
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...
Elena Popovici, Kenneth A. De Jong
FLAIRS
2009
15 years 2 months ago
Maintaining Focus: Overcoming Attention Deficit Disorder in Contingent Planning
In our experiments with four well-known systems for solving partially observable planning problems (Contingent-FF, MBP, PKS, and POND), we were greatly surprised to find that they...
Ronald Alford, Ugur Kuter, Dana S. Nau, Elnatan Re...
138
Voted
CSREASAM
2006
15 years 6 months ago
A New Approach For Source Authentication Of Multicast Data
Multicast Security is one of the important problems to solve for the successful deployment of group communication applications, and source authentication of multicast data is a key...
Jinxin He, Gaochao Xu, Zhiguo Zhou, Guannan Gong
130
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CP
1998
Springer
15 years 8 months ago
Optimizing with Constraints: A Case Study in Scheduling Maintenance of Electric Power Units
A well-studied problem in the electric power industry is that of optimally scheduling preventative maintenance of power generating units within a power plant. We show how these pr...
Daniel Frost, Rina Dechter