We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
This paper considers the problem of scheduling two-operation non-preemptable jobs on two identical semiautomatic machines. A single server is available to carry out the first (or ...
This paper introduces a procedure for using genetic multiobjective optimization in yacht design. The problem described consists on the optimization of a bulb shape to improve the ...
Utility functions can be used to represent the value users attach to job completion as a function of turnaround time. Most previous scheduling research used simple synthetic repre...
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...