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GECCO
2007
Springer
269views Optimization» more  GECCO 2007»
15 years 3 months ago
Automated red teaming: a proposed framework for military application
In this paper, we describe Automated Red Teaming (ART), a concept that uses Evolutionary Algorithm (EA), Parallel Computing and Simulation to complement the manual Red Teaming eff...
Chwee Seng Choo, Ching Lian Chua, Su-Han Victor Ta...
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 10 months ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya
74
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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 10 months ago
An evolutionary approach for competency-based curriculum sequencing
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
Luis de Marcos, José-Javier Martínez...
ICALP
2010
Springer
15 years 2 months ago
Thresholded Covering Algorithms for Robust and Max-min Optimization
The general problem of robust optimization is this: one of several possible scenarios will appear tomorrow, but things are more expensive tomorrow than they are today. What should...
Anupam Gupta, Viswanath Nagarajan, R. Ravi