All Outputs (13)

Towards the development of a simulator for investigating the impact of people management practices on retail performance (2011)
Journal Article
Siebers, P., Aickelin, U., Celia, H., & Clegg, C. (2011). Towards the development of a simulator for investigating the impact of people management practices on retail performance. Journal of Simulation, 5(4), 242-265. https://doi.org/10.1057/jos.2010.20

Often models for understanding the impact of management practices on retail performance are developed under the assumption of stability, equilibrium and linearity, whereas retail operations are considered in reality to be dynamic, non-linear and comp... Read More about Towards the development of a simulator for investigating the impact of people management practices on retail performance.

Tabu assisted guided local search approaches for freight service network design (2011)
Journal Article
Bai, R., Kendall, G., Qu, R., & Atkin, J. A. (2012). Tabu assisted guided local search approaches for freight service network design. Information Sciences, 189, https://doi.org/10.1016/j.ins.2011.11.028

The service network design problem (SNDP) is a core problem in freight transportation. It involves the determination of the most cost-effective transportation network and the character- istics of the corresponding services, subject to various constra... Read More about Tabu assisted guided local search approaches for freight service network design.

A Lambda Term Representation Inspired by Linear Ordered Logic (2011)
Journal Article
Abel, A., & Kraus, N. (2011). A Lambda Term Representation Inspired by Linear Ordered Logic. Electronic Proceedings in Theoretical Computer Science, 71, 1-13. https://doi.org/10.4204/EPTCS.71.1

We introduce a new nameless representation of lambda terms inspired by ordered logic. At a lambda abstraction, number and relative position of all occurrences of the bound variable are stored, and application carries the additional information where... Read More about A Lambda Term Representation Inspired by Linear Ordered Logic.

MysiRNA-designer: a workflow for efficient siRNA design (2011)
Journal Article
Mysara, M., Garibaldi, J. M., & ElHefnawi, M. (2011). MysiRNA-designer: a workflow for efficient siRNA design. PLoS ONE, 6(10), Article e25642. https://doi.org/10.1371/journal.pone.0025642

The design of small interfering RNA (siRNA) is a multi factorial problem that has gained the attention of many researchers in the area of therapeutic and functional genomics. MysiRNA score was previously introduced that improves the correlation of si... Read More about MysiRNA-designer: a workflow for efficient siRNA design.

Quiet in class: classification, noise and the dendritic cell algorithm (2011)
Journal Article
Gu, F., Feyereisl, J., Oates, R., Reps, J., Greensmith, J., & Aickelin, U. (2011). Quiet in class: classification, noise and the dendritic cell algorithm. Lecture Notes in Artificial Intelligence, 6825, https://doi.org/10.1007/978-3-642-22371-6_17

Theoretical analyses of the Dendritic Cell Algorithm (DCA) have yielded several criticisms about its underlying structure and operation. As a result, several alterations and fixes have been suggested in the literature to correct for these findings. A... Read More about Quiet in class: classification, noise and the dendritic cell algorithm.

Evolutionary squeaky wheel optimization: a new framework for analysis (2011)
Journal Article
Li, J., Parkes, A. J., & Burke, E. K. (in press). Evolutionary squeaky wheel optimization: a new framework for analysis. Evolutionary Computation, 19(3), https://doi.org/10.1162/EVCO_a_00033

Squeaky wheel optimization (SWO) is a relatively new metaheuristic that has been shown to be effective for many real-world problems. At each iteration SWO does a complete construction of a solution starting from the empty assignment. Although the con... Read More about Evolutionary squeaky wheel optimization: a new framework for analysis.

A "non-parametric" version of the naive Bayes classifier (2011)
Journal Article
Soria, D., Garibaldi, J. M., Ambrogi, F., Biganzoli, E. M., & Ellis, I. O. (2011). A "non-parametric" version of the naive Bayes classifier. Knowledge-Based Systems, 24(6), https://doi.org/10.1016/j.knosys.2011.02.014

Many algorithms have been proposed for the machine learning task of classication. One of the simplest methods, the naive Bayes classifyer, has often been found to give good performance despite the fact that its underlying assumptions (of independence... Read More about A "non-parametric" version of the naive Bayes classifier.

Validation of a microsimulation of the port of Dover (2011)
Journal Article
Roadknight, C., Aickelin, U., & Sherman, G. (in press). Validation of a microsimulation of the port of Dover. Journal of Computational Science, 3(1-2), https://doi.org/10.1016/j.jocs.2011.07.005

Modelling and simulating the traffic of heavily used but secure environments such as seaports and airports is of increasing importance. Errors made when simulating these environments can have long standing economic, social and environmental implicati... Read More about Validation of a microsimulation of the port of Dover.

Modelling electricity consumption in office buildings: an agent based approach (2011)
Journal Article
Zhang, T., Siebers, P., & Aickelin, U. (2011). Modelling electricity consumption in office buildings: an agent based approach. Energy and Buildings, 43(10), https://doi.org/10.1016/j.enbuild.2011.07.007

In this paper, we develop an agent-based model which integrates four important elements, i.e. organisational energy management policies/regulations, energy management technologies, electric appliances and equipment, and human behaviour, to simulate t... Read More about Modelling electricity consumption in office buildings: an agent based approach.

On Euclid’s algorithm and elementary number theory (2011)
Journal Article
Backhouse, R., & Ferreira, J. F. (2011). On Euclid’s algorithm and elementary number theory. Science of Computer Programming, 76(3), https://doi.org/10.1016/j.scico.2010.05.006

Algorithms can be used to prove and to discover new theorems. This paper shows how algorithmic skills in general, and the notion of invariance in particular, can be used to derive many results from Euclid’s algorithm. We illustrate how to use the alg... Read More about On Euclid’s algorithm and elementary number theory.

Motif detection inspired by immune memory (2011)
Journal Article
Wilson, W., Birkin, P., & Aickelin, U. (2011). Motif detection inspired by immune memory. Journal of the Operational Research Society, 62, https://doi.org/10.1057/jors.2010.81

The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pattern identification tool that is able to identify variable length unk... Read More about Motif detection inspired by immune memory.

An adaptive evolutionary multi-objective approach based on simulated annealing (2011)
Journal Article
Li, H., & Landa-Silva, D. (2011). An adaptive evolutionary multi-objective approach based on simulated annealing. Evolutionary Computation, 19(4), https://doi.org/10.1162/EVCO_a_00038

A multi-objective optimization problem can be solved by decomposing it into one or more single objective subproblems in some multi-objective metaheuristic algorithms. Each subproblem corresponds to one weighted aggregation function. For example, MOEA... Read More about An adaptive evolutionary multi-objective approach based on simulated annealing.

A first approach on modelling staff proactiveness in retail simulation models (2011)
Journal Article
Siebers, P., & Aickelin, U. (2011). A first approach on modelling staff proactiveness in retail simulation models. Journal of Artificial Societies and Social Simulation, 14(2),

There has been a noticeable shift in the relative composition of the industry in the developed countries in recent years; manufacturing is decreasing while the service sector is becoming more important. However, currently most simulation models for... Read More about A first approach on modelling staff proactiveness in retail simulation models.