All Outputs (8)

The co-evolution of memetic algorithms for protein structure prediction (2002)
Presentation / Conference
Smith, J. (2002, September). The co-evolution of memetic algorithms for protein structure prediction. Paper presented at Advances in Nature-Inspired Computation: The PPSN VII Workshops, PEDAL (Parallel, Emergent & Distributed Architectures Lab), University of Reading, Reading, UK

Alignment of protein structures with a memetic evolutionary algorithm (2002)
Presentation / Conference
Carr, B., Hart, W., Krasnogor, N., Hirst, J., Burke, E., & Smith, J. (2002, June). Alignment of protein structures with a memetic evolutionary algorithm. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), Morgan Kaufmann, San Francisco

A hybrid genetic algorithm to solve a lot sizing and scheduling problem (2002)
Presentation / Conference
Staggemeier, A., Clarke, A., Aickelin, U., & Smith, J. (2002, June). A hybrid genetic algorithm to solve a lot sizing and scheduling problem. Paper presented at Conference of International Federation of Operational Research Societies

Strategy parameter variety in self-adaption of mutation rates (2002)
Presentation / Conference
Stone, C., & Smith, J. (2002, June). Strategy parameter variety in self-adaption of mutation rates. Paper presented at Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002), Morgan Kaufmann, San Francisco, USA

Adaptive image segmentation based on visual interactive feedback learning (2002)
Book Chapter
Caleb-Solly, P., & Smith, J. (2002). Adaptive image segmentation based on visual interactive feedback learning. In I. Parmee (Ed.), Adaptive Computing in Design and Manufacture V. Springer

Co-evolving memetic algorithms: Initial investigations (2002)
Conference Proceeding
Smith, J. (2002). Co-evolving memetic algorithms: Initial investigations. In J. J. M. Guervós, P. Adamidis, H. Beyer, H. Schwefel, & J. Fernández-Villacañas (Eds.), In Parallel Problem Solving from Nature — PPSN VII (537-546). https://doi.org/10.1007/3-540-45712-7_52

This paper presents and examines the behaviour of a system whereby the rules governing local search within a Memetic Algorithm are co-evolved alongside the problem representation. We describe the rationale for such a system, and the implementation of... Read More about Co-evolving memetic algorithms: Initial investigations.

Genetic algorithms (2002)
Book Chapter
Smith, J. (2002). Genetic algorithms. In P. M. Pardalos, & H. E. Romeijn (Eds.), Handbook of Global Optimization (275-362). Boston, USA: Kluwer Academic Publishers

On appropriate adaptation levels for the learning of gene linkage (2002)
Journal Article
Smith, J. (2002). On appropriate adaptation levels for the learning of gene linkage. Genetic Programming and Evolvable Machines, 3(2), 129-155. https://doi.org/10.1023/A%3A1015579825262