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GEOINFORMATICA
2002
92views more  GEOINFORMATICA 2002»
14 years 10 months ago
Using Genetic Algorithms for Solving Hard Problems in GIS
Genetic algorithms (GAs) are powerful combinatorial optimizers that are able to
Steven van Dijk, Dirk Thierens, Mark de Berg
82
Voted
FCCM
2009
IEEE
316views VLSI» more  FCCM 2009»
15 years 2 months ago
An FPGA Implementation for Solving Least Square Problem
This paper proposes a high performance least square solver on FPGAs using the Cholesky decomposition method. Our design can be realized by iteratively adopting a single triangular...
Depeng Yang, Gregory D. Peterson, Husheng Li, Junq...
90
Voted
DSS
2007
112views more  DSS 2007»
14 years 11 months ago
Service-based P2P overlay network for collaborative problem solving
This paper describes a service-based P2P overlay network architecture to support a collaborative environment for solving complex business processes over the network. In the propos...
Sanjay Goel, Shashishekara S. Talya, Michael W. So...
124
Voted
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
15 years 8 months ago
A Fourier space algorithm for solving quadratic assignment problems
The quadratic assignment problem (QAP) is a central problem in combinatorial optimization. Several famous computationally hard tasks, such as graph matching, partitioning, and the...
Risi Kondor
JOT
2007
104views more  JOT 2007»
14 years 10 months ago
Common Requirements Problems, Their Negative Consequences, and the Industry Best Practices to Help Solve Them
In this column, I summarize the 12 worst of the most common requirements engineering problems I have observed over many years working on and with real projects as a requirements e...
Donald Firesmith