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CEC
2003
IEEE
14 years 1 months ago
Digital circuit design through simulated evolution (SimE)
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...
GECCO
2003
Springer
107views Optimization» more  GECCO 2003»
14 years 1 months ago
Exploration of a Two Sided Rendezvous Search Problem Using Genetic Algorithms
The problem of searching for a walker that wants to be found, when the walker moves toward the helicopter when it can hear it, is an example of a two sided search problem which is ...
T. Q. S. Truong, A. Stacey
ICML
2010
IEEE
13 years 9 months ago
Restricted Boltzmann Machines are Hard to Approximately Evaluate or Simulate
Restricted Boltzmann Machines (RBMs) are a type of probability model over the Boolean cube {-1, 1}n that have recently received much attention. We establish the intractability of ...
Philip M. Long, Rocco A. Servedio
CEC
2010
IEEE
13 years 6 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
CEC
2005
IEEE
13 years 10 months ago
Heterogeneous multiprocessor scheduling with differential evolution
The problem of scheduling a parallel program given by a Directed Acyclic Graph (DAG) of tasks is a well-studied area. We present a new approach which employs Differential Evolution...
Krzysztof Rzadca, Franciszek Seredynski