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Prof Ben Paechter's Outputs (88)

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.

This pervasive day: creative Interactive methods for encouraging public engagement with FET research (2011)
Journal Article
Helgason, I., Bradley, J., Egan, C., Paechter, B., & Hart, E. (2011). This pervasive day: creative Interactive methods for encouraging public engagement with FET research. Procedia Computer Science, 7, 207-208. https://doi.org/10.1016/j.procs.2011.09.028

This paper describes a case study of a programme of interactive public engagement activities presented by the PerAda Co-ordination Action project (FET Proactive Initiative on Pervasive Adaptation) [1] in 2011. The intention behind these events was to... Read More about This pervasive day: creative Interactive methods for encouraging public engagement with FET research.

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..

Towards self-aware PerAda systems. (2010)
Presentation / Conference Contribution
Hart, E., & Paechter, B. (2010, July). Towards self-aware PerAda systems

Pervasive Adaptation (PerAda) refers to massive-scale pervasive information and communication systems which are capable of autonomously adapting to highly dynamic and open technological and user contexts. PerAda systems are thus a special case of col... Read More about Towards self-aware PerAda systems..

Strengthening the Forward Variable Selection Stopping Criterion (2009)
Presentation / Conference Contribution
Herrera, L. J., Rubio, G., Pomares, H., Paechter, B., Guillén, A., & Rojas, I. Strengthening the Forward Variable Selection Stopping Criterion

Given any modeling problem, variable selection is a preprocess step that selects the most relevant variables with respect to the output variable. Forward selection is the most straightforward strategy for variable selection; its application using the... Read More about Strengthening the Forward Variable Selection Stopping Criterion.

Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab (2009)
Presentation / Conference Contribution
Rubio, G., Guillen, A., Pomares, H., Rojas, I., Paechter, B., Glosekotter, P., & Torres-Ceballos, C. I. (2009, June). Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab. Presented at 2009 International Conference on High Performance Computing & Simulation

The kernel weighted k-nearest neighbours (KWKNN) algorithm is an efficient kernel regression method that achieves competitive results with lower computational complexity than Least-Squares Support Vector Machines and Gaussian Processes. This paper pr... Read More about Parallelization of the nearest-neighbour search and the cross-validation error evaluation for the kernel weighted k-nn algorithm applied to large data dets in matlab.

Setting the research agenda in automated timetabling: the second international timetabling competition (2009)
Journal Article
McCollum, B., Schaerf, A., Paechter, B., McMulan, P., Lewis, R. M. R., Parkes, A. J., Gaspero, L. D., Qu, R., & Burke, E. (2010). Setting the research agenda in automated timetabling: the second international timetabling competition. INFORMS Journal on Computing, 22, 120-130. https://doi.org/10.1287/ijoc.1090.0320

The Second International Timetabling Competition (TTC2007) opened in August 2007. Building on the success of the first competition in 2002, this sequel aimed to further develop research activity in the area of educational timetabling. The broad aim o... Read More about Setting the research agenda in automated timetabling: the second international timetabling competition.

Parallel Optimisation of Pump Schedules with a Thread-Safe Variant of EPANET Toolkit (2009)
Presentation / Conference Contribution
López-Ibáñez, M., Prasad, D. T., & Paechter, B. (2008, August). Parallel Optimisation of Pump Schedules with a Thread-Safe Variant of EPANET Toolkit. Presented at Water Distribution Systems Analysis 2008

The optimisation of pump operations in water distribution networks is an ongoing research topic motivated by the great energy savings that a careful scheduling of pumps may achieve. State-of-the-art approaches often combine an optimisation algorithm,... Read More about Parallel Optimisation of Pump Schedules with a Thread-Safe Variant of EPANET Toolkit.

Computing the State of Specknets: an immune-inspired approach. (2009)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008, June). Computing the State of Specknets: an immune-inspired approach. Presented at International Symposium on Performance Evaluation of Computer and Telecommunication Systems, 2008. SPECTS 2008

Speckled Computing is an emerging technology based on the
deployment of thousands of minute semiconductor grains in
dense, wireless networks known as Specknets. Specknets collect
and process data to achieve some application dependent
functionalit... Read More about Computing the State of Specknets: an immune-inspired approach..

A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems (2008)
Presentation / Conference Contribution
Craenen, B. G. W., & Paechter, B. (2008, March). A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems. Presented at 8th European Conference, EvoCOP 2008, Naples, Italy

This paper introduces a hybrid Tabu Search - Evolutionary Algorithm for solving the binary constraint satisfaction problem, called CTLEA. A continuation of an earlier introduced algorithm, called the STLEA, the CTLEA replaces the earlier compound lab... Read More about A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems.

Boosting the Immune System (2008)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2008, August). Boosting the Immune System. Presented at International Conference on Artificial Immune Systems ICARIS 2008

Much of contemporary research in Artificial Immune Systems (AIS) has partitioned into either algorithmic machine learning and optimisation, or modelling biologically plausible dynamical systems, with little overlap between. Although the balance is la... Read More about Boosting the Immune System.

Computing the State of Specknets: further analysis of an innate immune-inspired model. (2008)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2008, August). Computing the State of Specknets: further analysis of an innate immune-inspired model

Specknets consist of hundreds of miniature devices, which are each capable of processing data and communicating wirelessly across short distances. Such networks, with their great complexity, pose considerable challenges for engineers due to the unrel... Read More about Computing the State of Specknets: further analysis of an innate immune-inspired model..

Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks (2008)
Journal Article
López-Ibáñez, M., Prasad, T. D., & Paechter, B. (2008). Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks. Journal of Water Resources Planning and Management, 134(4), 337-346. https://doi.org/10.1061/%28asce%290733-9496%282008%29134%3A4%28337%29

Reducing energy consumption of water distribution networks has never had more significance than today. The greatest energy savings can be obtained by careful scheduling of operation of pumps. Schedules can be defined either implicitly, in terms of ot... Read More about Ant Colony Optimization for Optimal Control of Pumps in Water Distribution Networks.

An Immune-Inspired Approach to Speckled Computing (2007)
Presentation / Conference Contribution
Davoudani, D., Hart, E., & Paechter, B. (2007, August). An Immune-Inspired Approach to Speckled Computing. Presented at International Conference on Artificial Immune Systems ICARIS 2007, Beijing, China

Speckled Computing offers a radically new concept in information technology that has the potential to revolutionise the way we communicate and exchange information. Specks — minute, autonomous, semi-conductor grains that can sense and compute locally... Read More about An Immune-Inspired Approach to Speckled Computing.

Ensemble: embodied experiences in a sound and jewellery installation (2007)
Presentation / Conference Contribution
Kettley, S., Smyth, M., Arvind, D. K., Greig, F., McGregor, I., & Paechter, B. (2007, December). Ensemble: embodied experiences in a sound and jewellery installation. Presented at Create 07

ensemble - an interactive collection of networked jewellery with gesturally determined, real time sonic output

Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs (2007)
Presentation / Conference Contribution
Laredo, J. L. J., Castillo, P. A., Paechter, B., Mora, A. M., Alfaro-Cid, E., Esparcia-Alcazar, A. I., & Merelo, J. J. (2007, December). Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs. Presented at EvoWorkshops: Workshops on Applications of Evolutionary Computation

The development of Peer-to-Peer (P2P) systems is still a challenge due to the huge number of factors involved. Validation of these systems must be defined in terms of describing the adequacy of the P2P model to the actual environment. This paper focu... Read More about Empirical Validation of a Gossiping Communication Mechanism for Parallel EAs.

Revisiting the Central and Peripheral Immune System (2007)
Presentation / Conference Contribution
McEwan, C., Hart, E., & Paechter, B. (2007, August). Revisiting the Central and Peripheral Immune System. Presented at ICARIS 2007: International Conference on Artificial Immune Systems, Santos, Brazil

The idiotypic network has a long and chequered history in both theoretical immunology and Artificial Immune Systems. In terms of the latter, the drive for engineering applications has led to a diluted interpretation of the immunological models. Resea... Read More about Revisiting the Central and Peripheral Immune System.

Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization (2007)
Presentation / Conference Contribution
Guillen, A., Rojas, I., Gonzalez, J., Pomares, H., Herrera, L. J., & Paechter, B. (2007, April). Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization. Presented at ICANNGA: International Conference on Adaptive and Natural Computing Algorithms, Warsaw, Poland

Radial Basis Function Neural Networks (RBFNNs) have been widely used to solve classification and regression tasks providing satisfactory results. The main issue when working with RBFNNs is how to design them because this task requires the optimizatio... Read More about Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization.

Finding feasible timetables using group-based operators. (2007)
Journal Article
Lewis, R. M. R., & Paechter, B. (2007). Finding feasible timetables using group-based operators. IEEE Transactions on Evolutionary Computation, 11, 397-413. https://doi.org/10.1109/TEVC.2006.885162

This paper describes the applicability of the so-called "grouping genetic algorithm" to a well-known version of the university course timetabling problem. We note that there are, in fact, various scaling up issues surrounding this sort of algorithm a... Read More about Finding feasible timetables using group-based operators..