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GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
9 years 5 months ago
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
Bryant A. Julstrom
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
9 years 5 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
9 years 5 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
GECCO
2009
Springer
9 years 5 months ago
A hybrid GA-PSO fuzzy system for user identification on smart phones
Muhammad Shahzad, Saira Zahid, Muddassar Farooq
GECCO
2009
Springer
9 years 5 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
GECCO
2009
Springer
137views Optimization» more  GECCO 2009»
9 years 5 months ago
Efficient natural evolution strategies
Efficient Natural Evolution Strategies (eNES) is a novel alternative to conventional evolutionary algorithms, using the natural gradient to adapt the mutation distribution. Unlike...
Yi Sun, Daan Wierstra, Tom Schaul, Jürgen Sch...
GECCO
2009
Springer
122views Optimization» more  GECCO 2009»
9 years 5 months ago
Visualising random boolean network dynamics
We propose a simple approach to visualising the time behaviour of Random Boolean Networks (RBNs), and demonstrate the approach by examining the effect of canalising functions for ...
Susan Stepney
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
9 years 5 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
9 years 5 months ago
Evolving specific network statistical properties using a gene regulatory network model
Abstract. The generation of network topologies with specific, userspecified statistical properties is the aim of this paper. This is achieved through the use of an artifical Gene R...
Miguel Nicolau, Marc Schoenauer
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