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» Evolutionary multiobjective optimization
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IEEECIT
2010
IEEE
15 years 3 months ago
Learning Autonomic Security Reconfiguration Policies
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
Juan E. Tapiador, John A. Clark
BIOADIT
2004
Springer
15 years 10 months ago
Searching for a Practical Evidence of the No Free Lunch Theorems
Abstract. According to the No Free Lunch (NFL) theorems all blackbox algorithms perform equally well when compared over the entire set of optimization problems. An important proble...
Mihai Oltean
137
Voted
GECCO
2010
Springer
167views Optimization» more  GECCO 2010»
15 years 10 months ago
Evolving CPPNs to grow three-dimensional physical structures
The majority of work in the field of evolutionary robotics concerns itself with evolving control strategies for human designed or bio-mimicked robot morphologies. However, there ...
Joshua E. Auerbach, Josh C. Bongard
151
Voted
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 8 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
15 years 6 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi