Abstract. In this paper, we apply a competitive coevolutionary approach using loosely coupled genetic algorithms to a distributed optimization of the Rosenbrock's function. Th...
Franciszek Seredynski, Pascal Bouvry, Farhad Arbab
— One of the main tasks software testing involves is the generation of the test inputs to be used during the test. Due to its expensive cost, the automation of this task has beco...
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Abstract. Given a nite state machine denoting the specication of a system, nding some short interaction sequences capable to reach some/all states or transitions of this machine...