This article presents an optimization method used at the electric-motor design. The goal of the optimization was to find the geometrical parameter values that would generate the r...
This paper proposes an original approach to the reliability analysis for Embryonics [4], by introducing the accuracy threshold measure, borrowed from fault-tolerant quantum comput...
This paper describes circuit evolutionary experiments at extreme low temperatures, including the test of all system components at this extreme environment (EE). In addition to hard...
Ricardo Salem Zebulum, Adrian Stoica, Didier Keyme...
Air traffic management offers an intriguing real world challenge to designing large scale distributed systems using evolutionary computation. The ability to evolve effective air t...
Statistical query (SQ) learning model of Kearns is a natural restriction of the PAC learning model in which a learning algorithm is allowed to obtain estimates of statistical prop...