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ACMSE
2006
ACM
15 years 7 months ago
A SAT-based solver for Q-ALL SAT
Although the satisfiability problem (SAT) is NP-complete, state-of-the-art solvers for SAT can solve instances that are considered to be very hard. Emerging applications demand t...
Ben Browning, Anja Remshagen
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 7 months ago
An analysis of island models in evolutionary computation
A need for solving more and more complex problems drives the Evolutionary Computation community towards advanced models of Evolutionary Algorithms. One such model is the island mo...
Zbigniew Skolicki
ICANN
2009
Springer
15 years 6 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch
234
Voted
ICC
2011
IEEE
272views Communications» more  ICC 2011»
14 years 1 months ago
Dynamic Anycast Routing and Wavelength Assignment in WDM Networks Using Ant Colony Optimization (ACO)
—Ant colony optimization (ACO) is a probabilistic technique used for solving complex computational problems, such as finding optimal routes in networks. It has been proved to pe...
Kavitha Bhaskaran, Joan Triay, Vinod Vokkarane
101
Voted
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
15 years 5 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan