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Heaven and Hell: visions for pervasive adaptation (2011)
Journal Article
Paechter, B., Pitt, J., Serbedzija, N., Michael, K., Willies, J., & Helgason, I. (2011). Heaven and Hell: visions for pervasive adaptation. Procedia Computer Science, 7, 81-82. https://doi.org/10.1016/j.procs.2011.12.025

With everyday objects becoming increasingly smart and the “info-sphere” being enriched with nano-sensors and networked to computationally-enabled devices and services, the way we interact with our environment has changed significantly, and will conti... Read More about Heaven and Hell: visions for pervasive adaptation.

Representations and evolutionary operators for the scheduling of pump operations in water distribution networks. (2011)
Journal Article
Lopez-Ibanez, M., Tumula, P., & Paechter, B. (2011). Representations and evolutionary operators for the scheduling of pump operations in water distribution networks. Evolutionary Computation, 19, 429-467. https://doi.org/10.1162/EVCO_a_00035

Reducing the energy consumption of water distribution networks has never had more significance. The greatest energy savings can be obtained by carefully scheduling the operations of pumps. Schedules can be defined either implicitly, in terms of other... Read More about Representations and evolutionary operators for the scheduling of pump operations in water distribution networks..

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.