All Outputs (2039)

Improved dynamic lexicographic ordering for multi-objective optimisation (2010)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. A. (2010). Improved dynamic lexicographic ordering for multi-objective optimisation.

There is a variety of methods for ranking objectives in multiobjective optimization and some are difficult to define because they require information a priori (e.g. establishing weights in a weighted approach or setting the ordering in a lexicographi... Read More about Improved dynamic lexicographic ordering for multi-objective optimisation.

CODEA : an agent based multi-objective optimization framework (2010)
Presentation / Conference Contribution
Castro-Gutierrez, J., Landa-Silva, D., & Moreno-Perez, J. (2010). CODEA : an agent based multi-objective optimization framework.

This work presents CODEA, a COoperative DEcentralized Architecture for Multiobjective Optimization. CODEA is an objectoriented framework that aims at the creation of groups of agents to tackle complex problems by cooperative search. This cooperation... Read More about CODEA : an agent based multi-objective optimization framework.

Modelling office energy consumption: an agent based approach (2010)
Presentation / Conference Contribution
Zhang, T., Siebers, P.-O., & Aickelin, U. (2010). Modelling office energy consumption: an agent based approach.

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, based on a ca... Read More about Modelling office energy consumption: an agent based approach.

Hormone transport (2010)
Book Chapter
Kerr, I. D., Carrier, D. J., & Twycross, J. (2010). Hormone transport. In The Plant Plasma Membrane (379-397). Springer. https://doi.org/10.1007/978-3-642-13431-9_17

Hormone transport in plants is a fundamental process governing all aspects of plant development. Identification and functional analysis of plasma membrane proteins, which regulate the import and export of plant hormones, is a requirement if we are to... Read More about Hormone transport.

Learning pathway-based decision rules to classify microarray cancer samples (2010)
Presentation / Conference Contribution
Glaab, E., Garibaldi, J. M., & Krasnogor, N. (2010). Learning pathway-based decision rules to classify microarray cancer samples.

Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninformative genes. Combining microarray data with cellular pathway data by us... Read More about Learning pathway-based decision rules to classify microarray cancer samples.

Compiling concurrency correctly: cutting out the middle man (2010)
Presentation / Conference Contribution
Hu, L., & Hutton, G. (2010). Compiling concurrency correctly: cutting out the middle man.

The standard approach to proving compiler correctness for concurrent languages requires the use of multiple translations into an intermediate process calculus. We present a simpler approach that avoids the need for such an intermediate language, usin... Read More about Compiling concurrency correctly: cutting out the middle man.

Computational study of non-linear great deluge for university course timetabling (2010)
Book Chapter
Obit, J. H., & Landa-Silva, D. (2010). Computational study of non-linear great deluge for university course timetabling. In V. Sgurev, M. Hadjiski, & J. Kacprzyk (Eds.), Intelligent systems: from theory to practice. Springer

The great deluge algorithm explores neighbouring solutions which are accepted if they are better than the best solution so far or if the detriment in quality is no larger than the current water level. In the original great deluge method, the water le... Read More about Computational study of non-linear great deluge for university course timetabling.

Optimized reprocessing of documents using stored processor state (2010)
Presentation / Conference Contribution
Ollis, J. A., Brailsford, D. F., & Bagley, S. R. (2010). Optimized reprocessing of documents using stored processor state.

Variable Data Printing (VDP) allows customised versions of material such as advertising flyers to be readily produced. However, VDP is often extremely demanding of computing resources because, even when much of the material stays invariant from one d... Read More about Optimized reprocessing of documents using stored processor state.

Iterated heuristic algorithms for the classroom assignment problem (2010)
Presentation / Conference Contribution
Constantino, A. A., Filho, W. M., & Landa-Silva, D. (2010). Iterated heuristic algorithms for the classroom assignment problem.

We tackle the classroom assignment problem in a large University with the objective of minimising the total distance between all classrooms assigned to teaching activities in the same course. Additional requirements that should be satisfied include:... Read More about Iterated heuristic algorithms for the classroom assignment problem.

A 0/1 integer programming model for the office space allocation problem (2010)
Journal Article
Ulker, O., & Landa-Silva, D. (2010). A 0/1 integer programming model for the office space allocation problem. Electronic Notes in Discrete Mathematics, 36, https://doi.org/10.1016/j.endm.2010.05.073

We propose a 0/1 integer programming model to tackle the office space allocation (OSA) problem which refers to assigning room space to a set of entities (people, machines, roles, etc.), with the goal of optimising the space utilisation while satisfyi... Read More about A 0/1 integer programming model for the office space allocation problem.

Towards an integrated workforce management system (2010)
Presentation / Conference Contribution
Landa-Silva, D., Castillo, A., Bowie, L., & Johnston, H. (2010). Towards an integrated workforce management system.

We describe progress towards a workforce management system in which personnel scheduling is integrated with other important processes such as payroll processing, attendance and absence recording, staffing forecast and planning, etc. Our focus is on c... Read More about Towards an integrated workforce management system.

A hybrid evolutionary approach to the nurse rostering problem (2010)
Journal Article
Bai, R., Burke, E. K., Kendall, G., Li, J., & McCollum, B. (2010). A hybrid evolutionary approach to the nurse rostering problem. IEEE Transactions on Evolutionary Computation, 14(4), https://doi.org/10.1109/tevc.2009.2033583

Nurse rostering is an important search problem with many constraints. In the literature, a number of approaches have been investigated including penalty function methods to tackle these constraints within genetic algorithm frameworks. In this paper,... Read More about A hybrid evolutionary approach to the nurse rostering problem.

Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails (2010)
Presentation / Conference Contribution
Li, H., Landa-Silva, D., & Gandibleux, X. (2010). Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails.

Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic representation, called Q-bit, to encode individuals in population. Unlike standard... Read More about Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails.

Towards the design of heuristics by means of self-assembly (2010)
Presentation / Conference Contribution
Terrazas, G., Landa-Silva, D., & Krasnogor, N. (2010). Towards the design of heuristics by means of self-assembly.

The current investigations on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to... Read More about Towards the design of heuristics by means of self-assembly.

A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics (2010)
Journal Article
Burke, E. K., Hyde, M., Kendall, G., & Woodward, J. (2010). A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics. IEEE Transactions on Evolutionary Computation, 14(6), https://doi.org/10.1109/tevc.2010.2041061

We present a genetic programming (GP) system to evolve reusable heuristics for the 2-D strip packing problem. The evolved heuristics are constructive, and decide both which piece to pack next and where to place that piece, given the current partial s... Read More about A genetic programming hyper-heuristic approach for evolving 2-D strip packing heuristics.

Discovering beneficial cooperative structures for the automated construction of heuristics (2010)
Book Chapter
Terrazas, G., Landa-Silva, D., & Krasnogor, N. (2010). Discovering beneficial cooperative structures for the automated construction of heuristics. In Nature inspired cooperative strategies for optimization (NICSO 2010) (89-100). Springer Verlag. https://doi.org/10.1007/978-3-642-12538-6_8

The current research trends on hyper-heuristics design have sprung up in two different flavours: heuristics that choose heuristics and heuristics that generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to... Read More about Discovering beneficial cooperative structures for the automated construction of heuristics.

Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study (2010)
Journal Article
Twycross, J., Band, L. R., Bennett, M. J., King, J. R., & Krasnogor, N. (2010). Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study. BMC Systems Biology, 4, https://doi.org/10.1186/1752-0509-4-34

Background: Stochastic and asymptotic methods are powerful tools in developing multiscale systems biology models; however, little has been done in this context to compare the efficacy of these methods. The majority of current systems biology modellin... Read More about Stochastic and deterministic multiscale models for systems biology: An auxin-transport case study.

Haptic negotiation and role exchange for collaboration in virtual environments (2010)
Presentation / Conference Contribution
Oguz, S. O., Kucukyilmaz, A., Sezgin, T. M., & Basdogan, C. (2010). Haptic negotiation and role exchange for collaboration in virtual environments. . https://doi.org/10.1109/haptic.2010.5444628

We investigate how collaborative guidance can be realized in multi-modal virtual environments for dynamic tasks involving motor control. Haptic guidance in our context can be defined as any form of force/tactile feedback that the computer generates t... Read More about Haptic negotiation and role exchange for collaboration in virtual environments.

TopoGSA: network topological gene set analysis (2010)
Journal Article
Glaab, E., Baudot, A., Krasnogor, N., & Valencia, A. (2010). TopoGSA: network topological gene set analysis. Bioinformatics, 26(9), https://doi.org/10.1093/bioinformatics/btq131

TopoGSA (Topology-based Gene Set Analysis) is a web-application dedicated to the computation and visualization of network topological properties for gene and protein sets in molecular interaction networks. Different topological characteristics, such... Read More about TopoGSA: network topological gene set analysis.

Towards modelling cost and risks of infrequent events in the cargo screening process (2010)
Presentation / Conference Contribution
Sherman, G., Menachof, D., Aickelin, U., & Siebers, P. (2010). Towards modelling cost and risks of infrequent events in the cargo screening process. In Proceedings of the Operational Research Society Simulation Workshop 2010 (SW10)

We introduce a simulation model of the port of Calais with a focus on the operation of immigration controls. Our aim is to compare the cost and benefits of different screening policies. Methodologically, we are trying to understand the limits of disc... Read More about Towards modelling cost and risks of infrequent events in the cargo screening process.