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» On the convergence of multi-parent genetic algorithms
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ICGA
1993
145views Optimization» more  ICGA 1993»
13 years 8 months ago
Genetic Programming of Minimal Neural Nets Using Occam's Razor
A genetic programming method is investigated for optimizing both the architecture and the connection weights of multilayer feedforward neural networks. The genotype of each networ...
Byoung-Tak Zhang, Heinz Mühlenbein
FOGA
1996
13 years 8 months ago
A Study of Fixed-Length Subset Recombination
While bit-based, order-based and real-valued genetic algorithms have been wellstudied in the literature, the xed-length subset representation has received relativelylittle attenti...
Kelly D. Crawford, Cory J. Hoelting, Roger L. Wain...
ICML
2003
IEEE
14 years 24 days ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
ICNC
2009
Springer
14 years 4 days ago
Vehicle Routing Problem with Time Windows: A Hybrid Particle Swarm Optimization Approach
Vehicle routing problem (VRP) is a well-known combinatorial optimization and nonlinear programming problem seeking to service a number of customers with a fleet of vehicles. This ...
Xiaoxiang Liu, Weigang Jiang, Jianwen Xie
SAC
2008
ACM
13 years 7 months ago
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
We consider analysis of complex stochastic models based upon partial information. MCMC and reversible jump MCMC are often the methods of choice for such problems, but in some situ...
Paul Fearnhead