Prof Ben Paechter's Outputs (72)

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.

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..

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..

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.

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

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.

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.

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.

Solving optimal pump control problem using max-min ant system. (2007)
Presentation / Conference Contribution
Lopez-Ibanez, M., Prasad, T. D., & Paechter, B. (2007, July). Solving optimal pump control problem using max-min ant system. Presented at 9th Annual Genetic and Evolutionary Computation Conference (GECCO), London, UK

Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation (2006)
Presentation / Conference Contribution
Guillen, A., Rojas, I., Gonzalez, J., Pomares, H., Herrera, L. J., & Paechter, B. (2006, December). Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation. Presented at 19th Australian Joint Conference on Artificial Intelligence, Hobart, Australia

Nature shows many examples where the specialisation of elements aimed to solve different problems is successful. There are explorer ants, worker bees, etc., where a group of individuals is assigned a specific task. This paper will extrapolate this ph... Read More about Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation.

A tabu search evolutionary algorithm for solving constraint satisfaction problems. (2006)
Presentation / Conference Contribution
Craenen, B. G. W., & Paechter, B. (2006, September). A tabu search evolutionary algorithm for solving constraint satisfaction problems. Presented at Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, Reykjavik, Iceland

The paper introduces a hybrid Tabu Search-Evolutionary Algorithm for solving the constraint satisfaction problem, called STLEA. Extensive experimental fine-tuning of parameters of the algorithm was performed to optimise the performance of the algorit... Read More about A tabu search evolutionary algorithm for solving constraint satisfaction problems..

Application of the Grouping Genetic Algorithm to University Course Timetabling (2005)
Presentation / Conference Contribution
Lewis, R., Lewis, R. M. R., & Paechter, B. (2005, March). Application of the Grouping Genetic Algorithm to University Course Timetabling. Presented at 5th European Conference in Evolutionary Computation in Combinatorial Optimisation (EvoCop 2005), Lausanne, Swizerland

University Course Timetabling-Problems (UCTPs) involve the allocation of resources (such as rooms and timeslots) to all the events of a university, satisfying a set of hard-constraints and, as much as possible, some soft constraints. Here we work wit... Read More about Application of the Grouping Genetic Algorithm to University Course Timetabling.

Fine-tuning a Genetic Algorithm for the General Timetable Problem (2005)
Presentation / Conference Contribution
Luchian, H., Ungureanasu, C., Paechter, B., & Petriuc, M. (1995, August). Fine-tuning a Genetic Algorithm for the General Timetable Problem. Presented at 1st International Conference on the Practice and Theory of Automated Timetabling (PATAT 1995), Edinburgh

Peer-to-peer networks for scalable grid landscapes in social agent simulations. (2005)
Presentation / Conference Contribution
Craenen, B. G. W., & Paechter, B. (2005, April). Peer-to-peer networks for scalable grid landscapes in social agent simulations. Presented at AISB’05 Convention Social Intelligence and Interaction in Animals, Robots and Agents, Hatfield, UK

Recently, peer-to-peer networks have been proposed as the underlying architecture of large scale distributed social agent simulations. A number of problems arise when grid landscapes are used to represent the landscape in these simulations, primarily... Read More about Peer-to-peer networks for scalable grid landscapes in social agent simulations..

An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. (2005)
Presentation / Conference Contribution
Lewis, R., & Paechter, B. (2005, September). An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case. Presented at 2005 IEEE Congress on Evolutionary Computation, Edinburgh, Scotland

A grouping genetic algorithm (GGA) for the university course timetabling problem is outlined. We propose six different fitness functions, all sharing the same common goal, and look at the effects that these can have on the algorithm with respect to b... Read More about An Empirical Analysis of the Grouping Genetic Algorithm: The Timetabling Case..

Maintaining Connectivity in a Scalable and Robust Distributed Environment (2005)
Presentation / Conference Contribution
Jelasity, M., Preuss, M., van Steen, M., & Paechter, B. (2002, May). Maintaining Connectivity in a Scalable and Robust Distributed Environment. Presented at 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02), Berlin, Germany

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 balancing, parallel evolutionary computation, agent-based simulation and artific... Read More about Maintaining Connectivity in a Scalable and Robust Distributed Environment.