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GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
13 years 11 months ago
Parallel genetic algorithm: assessment of performance in multidimensional scaling
Visualization of multidimensional data by means of Multidimensional Scaling (MDS) is a popular technique of exploratory data analysis widely usable, e.g. in analysis of bio-medica...
Antanas Zilinskas, Julius Zilinskas
CEC
2008
IEEE
13 years 11 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
MSOM
2008
103views more  MSOM 2008»
13 years 4 months ago
Facility Location with Stochastic Demand and Constraints on Waiting Time
We analyze the problem of optimal location of a set of facilities in the presence of stochastic demand and congestion. Customers travel to the closest facility to obtain service; ...
Opher Baron, Oded Berman, Dmitry Krass
PPSN
2010
Springer
13 years 3 months ago
A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition Crossover
We present a hybrid Genetic Algorithm that incorporates the Generalized Partition Crossover (GPX) operator to produce an algorithm that is competitive with the state of the art for...
Darrell Whitley, Doug Hains, Adele E. Howe
SAC
1998
ACM
13 years 9 months ago
Scalability of an MPI-based fast messy genetic algorithm
The fast messy genetic algorithm (fmGA) belongs to a class of algorithms inspired by the principles of evolution, known appropriately as "evolutionary algorithms" (EAs)....
Laurence D. Merkle, George H. Gates Jr., Gary B. L...