In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
The problem of finding trust paths and estimating the trust one can place in a partner arises in various application areas, including virtual organisations, authentication systems ...
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
This paper reports on work in progress to produce a unified Quality of Service (QoS) ontology This ontology must be applicable to the main scenarios currently identified such as Q...
Building adaptive constraint solvers is a major challenge in constraint programming. An important line of research towards this goal is concerned with ways to dynamically adapt th...