Outputs (14)

Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation (2016)
Presentation / Conference Contribution
Segredo, E., Lalla-Ruiz, E., Hart, E., Paechter, B., & Voß, S. (2016, May). Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation. Presented at Learning and Intelligent OptimizatioN Conference LION 10, Ischia Island (Napoli), Italy

Choosing the correct algorithm to solve a problem still remains an issue 40 years after the Algorithm Selection Problem was first posed. Here we propose a hyper-heuristic which can apply one of two meta-heuristics at the current stage of the search.... Read More about Hybridisation of Evolutionary Algorithms through hyper-heuristics for global continuous optimisation.

Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems (2016)
Presentation / Conference Contribution
Segredo, E., Paechter, B., Hart, E., & Gonz´alez-Vila, C. I. (2016, July). Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems. Presented at IEEE World Congress on Computational Intelligence

In order to address the difficult issue of parameter setting within a diversity-based Multi-objective Evolutionary Algorithm (MOEA), we recently proposed a hybrid control scheme based on both Fuzzy Logic Controllers (FLCs) and Hyper-heuristics (HHs).... Read More about Hybrid parameter control approach applied to a diversity-based multi-objective Memetic Algorithm for frequency assignment problems.

How to Talk to Strangers: generating medical reports for first time users (2016)
Presentation / Conference Contribution
Gkatzia, D., Rieser, V., & Lemon, O. (2016). How to Talk to Strangers: generating medical reports for first time users. In 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE.2016.7737739

We propose a novel approach for handling first-time
users in the context of automatic report generation from timeseries
data in the health domain. Handling first-time users is
a common problem for Natural Language Generation (NLG)
and interactive... Read More about How to Talk to Strangers: generating medical reports for first time users.

Conical beam monopole antenna design for Chinese area positioning system (2016)
Journal Article
Pang, F., Ai, G., Yin, J., Ma, Y., Hu, C., Cui, J., Ma, L., See, C. H., & Abd-Alhameed, R. A. (2016). Conical beam monopole antenna design for Chinese area positioning system. Progress in Electromagnetics Research C: PIER C, 68, 193-200. https://doi.org/10.2528/pierc16083005

This article describes the operational principle of the satellite-based Chinese Area Positioning System (CAPS) and proposes a monopole antenna for a large anchored buoy platform in harsh marine environment. The proposed antenna is highly omnidirectio... Read More about Conical beam monopole antenna design for Chinese area positioning system.

A compact and broadband balun design for LTE applications (2016)
Journal Article
Elfergani, I. T. E., Hussaini, A. S., Rodriguez, J., Ali, A. H., See, C. H., & Abd-Alhameed, R. A. (2016). A compact and broadband balun design for LTE applications. Progress in electromagnetics research B: PIER B, 67, 85-95. https://doi.org/10.2528/pierc16071805

In this paper, a compact wideband planar balun is studied and investigated. The proposed balun comprises a broadband Wilkinson divider followed by non-coupled lines to attain wideband 180° phase shift. Due to the inherent broadband characteristics of... Read More about A compact and broadband balun design for LTE applications.

Analysing the performance of migrating birds optimisation approaches for large scale continuous problems (2016)
Presentation / Conference Contribution
Lalla-Ruiz, E., Segredo, E., Voss, S., Hart, E., & Paechter, B. (2016, September). Analysing the performance of migrating birds optimisation approaches for large scale continuous problems. Presented at 14th International Conference on Parallel Problem Solving from Nature (PPSN 2016)

We present novel algorithmic schemes for dealing with large scale continuous problems. They are based on the recently proposed population-based meta-heuristics Migrating Birds Optimisation (mbo) and Multi-leader Migrating Birds Optimisation (mmbo), t... Read More about Analysing the performance of migrating birds optimisation approaches for large scale continuous problems.

Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm (2016)
Presentation / Conference Contribution
Steyven, A., Hart, E., & Paechter, B. (2016, October). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. Presented at PPSN 2016 14th International Conference on Parallel Problem Solving from Nature

It is well known that in open-ended evolution, the nature of the environment plays in key role in directing evolution. However, in Evolutionary Robotics, it is often unclear exactly how parameterisation of a given environment might influence the emer... Read More about Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm.

Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm (2016)
Presentation / Conference Contribution
Mokhtar, M., Hunt, I., Burns, S., & Ross, D. (2016, July). Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm. Presented at Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion

A waste heat recovery system (WHRS) on a process with variable output, is an example of an intermittent renewable process. WHRS recycles waste heat into usable energy. As an example, waste heat produced from refrigeration can be used to provide hot w... Read More about Optimising a Waste Heat Recovery System using Multi-Objective Evolutionary Algorithm.

Explanation-based learning with analogy for impasse resolution (2016)
Journal Article
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL’s domain theory. This enables the generation of control laws, v... Read More about Explanation-based learning with analogy for impasse resolution.

Demo paper: AGADE - Scalability of ontology based agent simulations (2016)
Presentation / Conference Contribution
Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016, June). Demo paper: AGADE - Scalability of ontology based agent simulations. Presented at 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, Sevilla, Spain

Simulations of real world scenarios often require considerably
large numbers of agents. With increasing level of detail and resolution
in the underlying models machine limitations both in the aspect of
memory and computing power are reached. Even... Read More about Demo paper: AGADE - Scalability of ontology based agent simulations.

Artificial Immunology for Collective Adaptive Systems Design and Implementation (2016)
Journal Article
Capodieci, N., Hart, E., & Cabri, G. (2016). Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems, 11(2), 1-25. https://doi.org/10.1145/2897372

Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal with an unpredictable and changing environment. Existing frameworks for engin... Read More about Artificial Immunology for Collective Adaptive Systems Design and Implementation.

A hyper-heuristic ensemble method for static job-shop scheduling. (2016)
Journal Article
Hart, E., & Sim, K. (2016). A hyper-heuristic ensemble method for static job-shop scheduling. Evolutionary Computation, 24(4), 609-635. https://doi.org/10.1162/EVCO_a_00183

We describe a new hyper-heuristic method NELLI-GP for solving job-shop scheduling problems (JSSP) that evolves an ensemble of heuristics. The ensemble adopts a divide-and-conquer approach in which each heuristic solves a unique subset of the instance... Read More about A hyper-heuristic ensemble method for static job-shop scheduling..

When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping (2016)
Journal Article
Powers, S. T., & Lehmann, L. (2017). When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping. Biological Reviews, 92(2), 902-920. https://doi.org/10.1111/brv.12260

Understanding the evolution of sociality in humans and other species requires understanding how selection on social behaviour varies with group size. However, the effects of group size are frequently obscured in the theoretical literature, which ofte... Read More about When is bigger better? The effects of group size on the evolution of helping behaviours: Effects of group size on evolution of helping.

How institutions shaped the last major evolutionary transition to large-scale human societies (2016)
Journal Article
Powers, S. T., van Schaik, C. P., & Lehmann, L. (2016). How institutions shaped the last major evolutionary transition to large-scale human societies. Philosophical Transactions B: Biological Sciences, 371(1687), 20150098. https://doi.org/10.1098/rstb.2015.0098

What drove the transition from small-scale human societies centred on kinship and personal exchange, to large-scale societies comprising cooperation and division of labour among untold numbers of unrelated individuals? We propose that the unique huma... Read More about How institutions shaped the last major evolutionary transition to large-scale human societies.