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» Computational complexity and evolutionary computation
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RECOMB
2004
Springer
16 years 4 months ago
Learning multiple evolutionary pathways from cross-sectional data
Niko Beerenwinkel, Jörg Rahnenführer, Ma...
154
Voted
PPSN
1994
Springer
15 years 8 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph
SIAMCOMP
2000
106views more  SIAMCOMP 2000»
15 years 3 months ago
Computationally Sound Proofs
This paper puts forward a new notion of a proof based on computational complexity and explores its implications for computation at large. Computationally sound proofs provide, in a...
Silvio Micali
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 8 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
PPSN
2004
Springer
15 years 9 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta