Evaluation of a genetic representation for outline shapes (2017)
Presentation / Conference Contribution
Lapok, P., Lawson, A., & Paechter, B. (2017, July). Evaluation of a genetic representation for outline shapes. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17

This work in progress focuses on the evaluation of a genetic representation for outline shapes for planar mechanical levers which addresses the first stage of the complex real-world problem of modelling and evolving planar mechanical lever systems. T... Read More about Evaluation of a genetic representation for outline shapes.

Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication. (2015)
Presentation / Conference Contribution
Hart, E., Steyven, A., & Paechter, B. (2015, July). Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication. Presented at Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15

Ensuring the integrity of a robot swarm in terms of maintaining
a stable population of functioning robots over long
periods of time is a mandatory prerequisite for building more
complex systems that achieve user-defined tasks. mEDEA
is an environ... Read More about Improving survivability in environment-driven distributed evolutionary algorithms through explicit relative fitness and fitness proportionate communication..

The Cost of Communication: Environmental Pressure and Survivability in mEDEA (2015)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2015, July). The Cost of Communication: Environmental Pressure and Survivability in mEDEA. Presented at GECCO ’15

We augment the mEDEA algorithm to explicitly account for
the costs of communication between robots. Experimental
results show that adding a costs for communication exerts
environmental pressure to implicitly select for genomes that
maintain high... Read More about The Cost of Communication: Environmental Pressure and Survivability in mEDEA.

A Lifelong Learning Hyper-heuristic Method for Bin Packing (2015)
Journal Article
Hart, E., Sim, K., & Paechter, B. (2015). A Lifelong Learning Hyper-heuristic Method for Bin Packing. Evolutionary Computation, 23(1), 37-67. https://doi.org/10.1162/EVCO_a_00121

We describe a novel Hyper-heuristic system which continuously learns over time to solve a combinatorial optimisation problem. The system continuously generates new heuristics and samples problems from its environment; representative problems and heur... Read More about A Lifelong Learning Hyper-heuristic Method for Bin Packing.

Learning to solve bin packing problems with an immune inspired hyper-heuristic. (2013)
Presentation / Conference Contribution
Sim, K., Hart, E., & Paechter, B. (2013, September). Learning to solve bin packing problems with an immune inspired hyper-heuristic

Motivated by the natural immune system's ability to defend the body by generating and maintaining a repertoire of antibodies that collectively cover the potential pathogen space, we describe an artificial system that discovers and maintains a reperto... Read More about Learning to solve bin packing problems with an immune inspired hyper-heuristic..

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.

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.

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.

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.

New crossover operators for timetabling with evolutionary algorithms. (2004)
Presentation / Conference Contribution
Lewis, R. M. R., & Paechter, B. (2004, December). New crossover operators for timetabling with evolutionary algorithms

When using an evolutionary algorithm (EA) to optimise a population of feasible course timetables, it is important that the mutation and crossover operators are designed in such a way so that they don?t produce unfeasible or illegal offspring. In this... Read More about New crossover operators for timetabling with evolutionary algorithms..

PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation (2004)
Journal Article
de Toro Negro, F., Ortega, J., Ros, E., Mota, S., Paechter, B., & Martin, J. M. (2004). PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation. Parallel Computing, 30(5-6), 721-739. https://doi.org/10.1016/j.parco.2003.12.012

This paper deals with the study of the cooperation between parallel processing and evolutionary computation to obtain efficient procedures for solving multiobjective optimisation problems. We propose a new algorithm called PSFGA (parallel single fron... Read More about PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation.

Routing using evolutionary agents and proactive transitions. (2003)
Book Chapter
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2003). Routing using evolutionary agents and proactive transitions. In Applications of Evolutionary Computing (696-705). Springer-Verlag

The authors have previously introduced the concept of building a delivery network using an agent-based system. The delivery networks are built in response to a real-world problem that involves delivering post to a large number of households within an... Read More about Routing using evolutionary agents and proactive transitions..

Solving a real world routing problem using multiple evolutionary algorithms. (2002)
Presentation / Conference Contribution
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002, September). Solving a real world routing problem using multiple evolutionary algorithms. Presented at 7th International Conference PPSN: International Conference on Parallel Problem Solving from Nature-, Granada, Spain

This paper investigates the solving of a real world routing problem using evolutionary algorithms embedded within a Multi-agent system (MAS). An architecture for the MAS is proposed and mechanisms for controlling the interactions of agents are invest... Read More about Solving a real world routing problem using multiple evolutionary algorithms..

A distributed resource evolutionary algorithm machine. (2002)
Presentation / Conference Contribution
Paechter, B., Baeck, T., Schoenauer, M., Eiben, A. E., Merelo Guervós, J. J., Sebag, M., & Fogarty, T. C. (2000, July). A distributed resource evolutionary algorithm machine. Presented at 2000 Congress on Evolutionary Computation

This paper describes a project funded by the
European Commission’ which seeks to provide the
technology and software infrastructure necessary to
support the next generation of evolving infohabitants in
a way that makes that infrastructure univers... Read More about A distributed resource evolutionary algorithm machine..

Real-world applications of evolutionary computing (2000)
Presentation / Conference Contribution
Cagnoni, S., Poli, R., Smith, G. D., Corne, D., Oates, M., Hart, E., Lanzi, P. L., Willem, E. J., Li, Y., Paechter, B., & Fogarty, T. C. (2000, April). Real-world applications of evolutionary computing. Presented at EvoWorkshops 2000, Edinburgh, Scotland

This book constitutes the refereed proceedings of six workshops on evolutionary computation held concurrently as EvoWorkshops 2000 in Edinburgh, Scotland, UK, in April 2000.
The 37 revised papers presented were carefully reviewed and selected by the... Read More about Real-world applications of evolutionary computing.

Stone Soup (2000)
Presentation / Conference Contribution
Paechter, B., Fogarty, T. C., Burke, E., Cumming, A., & Rankin, B. (2000, August). Stone Soup

Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. (2000)
Presentation / Conference Contribution
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000, July). Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. Presented at Genetic and Evolutionary Computation Conference (GECCO-2000)

This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction
problems (CSPs). In some approaches, the penalties are set in advance and they do not change during a run. In other appro... Read More about Solving CSPs with evolutionary algorithms using self-adaptive constraint weights..

Post-publication timetabling. (2000)
Presentation / Conference Contribution
Cumming, A., Paechter, B., & Rankin, R. C. (2000, August). Post-publication timetabling. Presented at 3rd International Conference on the Practice And Theory of Automated Timetabling, PATAT 2000