Investigating and enhancing the performance of genetic algorithms in dynamic environments have attracted a growing interest from the community of genetic algorithms in recent year...
Software used in embedded systems is subject to strict timing and space constraints. The growing software complexity creates an urgent need for fast program execution under the co...
In spite of the recent quick growth of the Evolutionary Multi-objective Optimization (EMO) research field, there has been few trials to adapt the general variation operators to t...
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
We explore the execution of queries with client-site userdefined functions (UDFs). Many UDFs can only be executed at the client site, for reasons of scalability, security, confide...