State assignment for sequential circuits using multi-objective genetic algorithm (2011)
Journal Article
Al-Jassani, B. A., Urquhart, N. B., & Almaini, A. E. A. (2011). State assignment for sequential circuits using multi-objective genetic algorithm. IET Computers and Digital Techniques, 5, 296-305. https://doi.org/10.1049/iet-cdt.2010.0045

In this study, a new approach using a multi-objective genetic algorithm (MOGA) is proposed to determine the optimal state assignment with less area and power dissipations for completely and incompletely specified sequential circuits. The goal is to f... Read More about State assignment for sequential circuits using multi-objective genetic algorithm.

Agent motion planning with GAs enhanced by memory models. (2001)
Journal Article
Bot, M., Urquhart, N. B., & Chisholm, K. (2001). Agent motion planning with GAs enhanced by memory models. Genetic and Evolutionary Computation Conference, 227-234

The Tartarus problem may be considered a benchmark problem in the field of robotics. A robotic agent is required to move a number of blocks to the edge of an environment. The location of the blocks and position of the robot is unknown initially. The... Read More about Agent motion planning with GAs enhanced by memory models..