The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...
Carsten Franke, Joachim Lepping, Uwe Schwiegelshoh...
— In this article a new method is presented to obtain a full and precise calibration of camera-robot systems with eyein-hand cameras. It achieves a simultaneous and numerically s...
In this paper, we propose a multilevel cooperative coevolution (MLCC) framework for large scale optimization problems. The motivation is to improve our previous work on grouping ba...
In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not...