Ben Paechter
Ben Paechter

Prof Ben Paechter FBCS CITP

Professor

 0131 455 2764

  B.Paechter@napier.ac.uk

   

Biography

Prof. Ben Paechter is Director of Research in the School of Computing. He was Coordinator of the EvoNet, PerAda, and AWARE Coordination Actions within Future and Emerging Technologies (FET) and Deputy Coordinator of the FOCAS Coordination Action. He was a Principal Investigator of the “Speckled Computing” consortium of Scottish universities developing “spray on” computers for wireless sensor networks. He coordinated the FET DREAM project looking at peer-to-peer distribution evolution. He was the scientific officer in charge of the Metaheuristics Network examining the use of metaheuristics for combinatorial optimisation and the FET NEWTIES project which created an artificial society and examined the relationships between individual, social, and evolutionary learning. Prof Paechter is an Associate Editor of “Evolutionary Computation” (MIT Press). He was Joint General Chair of Parallel Problem Solving from Nature (PPSN) 2016.

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Editorial Activity

  • Associate Editor of Evolutionary Computation (MIT Press)

 

Media Activity

  • Timetabling software developed within the Centre for Emergent Computing highlighted in new TEDx talk on Evolutionary Computing and Design
  • PerAda team run successful public engagement event at the Science Museum, London
  • IIDI's AWARE project host successful talk at Edinburgh International Science Festival
  • FoCAS Book: Adaptive Collective Systems - Herding Black Sheep

 

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92 results

The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms.

Conference Proceeding
Paechter, B., Cumming, A., & Luchian, H. (1995)
The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms. In Evolutionary Computing, 86-93. https://doi.org/10.1007/3-540-60469-3_27
This paper presents a new genetic representation for timetabling with evolutionary algorithms. The representation involves the use of suggestion lists for the placement of eve...

A general model for the answer-pertubation techniques.

Conference Proceeding
Stamate, D., Luchian, H., & Paechter, B. (1994)
A general model for the answer-pertubation techniques. In Proceedings of the 7th International Conference on Scientific and Statistical Database Management Systems, 90-96. https://doi.org/10.1109/SSDM.1994.336958
Answer-perturbation techniques for the protection of statistical databases were introduced in [7]; they are flexible (perturbation kept under control), modular (do not interac...

Two solutions to the general timetable problem using evolutionary algorithms.

Conference Proceeding
Paechter, B., Luchian, H., Cumming, A., & Petriuc, M. (1994)
Two solutions to the general timetable problem using evolutionary algorithms. In Proceedings of the IEEE World Congress in Computational Intelligence, (300-305). https://doi.org/10.1109/ICEC.1994.349935
The general timetable problem, which involves the placing of events requiring limited resources into timeslots, has been approached in many different ways. This paper describe...

Optimising a Presentation Timetable Using Evolutionary Algorithms

Conference Proceeding
Paechter, B. (1994)
Optimising a Presentation Timetable Using Evolutionary Algorithms. In Evolutionary Computing. , (264-276). https://doi.org/10.1007/3-540-58483-8_20
This paper describes a solution to the problem of scheduling student presentations which uses evolutionary algorithms. The solution uses a permutation based approach with each...

An evolutionary approach to the general timetable problem.

Book Chapter
Paechter, B., Luchian, H., & Cumming, A. (1993)
An evolutionary approach to the general timetable problem. In The Scientific Annals of the "Al. I. Cuza" University of Iasi, special issue for the ROSYCS symposium 1993. Alexandru Ioan Cuza University Press

A scaleable and robust framework for distributed application.

Journal Article
Jelasity, M., Preuss, M. & Paechter, B. (2001)
A scaleable and robust framework for distributed application. World Congress on Computational Intelligence. 2, 1540-1545
This paper describes a novel tool for running distributed experiments on the Internet. The possible applications include simple load balancing, parallel evolutionary computati...

Maintaining connectivity in a scaleable and robust distributed environment.

Journal Article
Jelasity, M., Preuss, M., Van Steen, M. & Paechter, B. (2001)
Maintaining connectivity in a scaleable and robust distributed environment. Cluster Computing and the Grid. , 389-394. doi:10.1109/CCGRID.2002.1017166
This paper describes a novel peer-to-peer (P2P) environment for running distributed Java applications on the Internet. The possible application areas include simple load balan...

Investigating the acute physiology and chronic health evaluation II (APACHE II) data set for additional predictive power using neural networks.

Conference Proceeding
Anderson, T., Paechter, B. & Lea, A. (1993)
Investigating the acute physiology and chronic health evaluation II (APACHE II) data set for additional predictive power using neural networks. In Proceedings of the International Conference on Neural Networks & Expert Systems in Medicine & Healthcare

Stone Soup

Conference Proceeding
Paechter, B., Fogarty, T. C., Burke, E., Cumming, A. & Rankin, B. (1999)
Stone Soup. In Practice and Theory of Automated Timetabling IIIISBN 3-540-42421-0

Solving vehicle routing problems using different multiple ant colony systems.

Conference Proceeding
Sa'adah, S., Ross, P. & Paechter, B. (2003)
Solving vehicle routing problems using different multiple ant colony systems

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