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» Software Testing with Evolutionary Strategies
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HIS
2008
14 years 13 days ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
ACSAC
2007
IEEE
14 years 5 months ago
Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting
We present an extension of traditional "black box" fuzz testing using a genetic algorithm based upon a Dynamic Markov Model fitness heuristic. This heuristic allows us t...
Sherri Sparks, Shawn Embleton, Ryan Cunningham, Cl...
TCIAIG
2010
13 years 5 months ago
Evolutionary Game Design
It is easy to create new combinatorial games but more difficult to predict those that will interest human players. We examine the concept of game quality, its automated measurement...
Cameron Browne, Frédéric Maire
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 2 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
KBSE
2005
IEEE
14 years 4 months ago
An analysis of rule coverage as a criterion in generating minimal test suites for grammar-based software
The term grammar-based software describes software whose input can be specified by a context-free grammar. This grammar may occur explicitly in the software, in the form of an in...
Mark Hennessy, James F. Power