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Simulation Optimization of the Crossdock Door Assignmnet Problem
Conference Proceeding
Aickelin, U., & Adewunmi, A. (2006). Simulation Optimization of the Crossdock Door Assignmnet Problem.

The purpose of this report is to present the Crossdock Door Assignment Problem, which involves assigning destinations to outbound dock doors of Crossdock centres such that travel distance by material handling equipment is minimized. We propose a two... Read More about Simulation Optimization of the Crossdock Door Assignmnet Problem.

Improved Squeaky Wheel Optimisation for Driver Scheduling
Conference Proceeding
Aickelin, U., Burke, E., & Li, J. Improved Squeaky Wheel Optimisation for Driver Scheduling.

This paper presents a technique called Improved Squeaky Wheel Optimisation (ISWO) for driver scheduling problems. It improves the original Squeaky Wheel Optimisation’s (SWO) effectiveness and execution speed by incorporating two additional steps of S... Read More about Improved Squeaky Wheel Optimisation for Driver Scheduling.

BioHEL: Bioinformatics-oriented Hierarchical Evolutionary Learning
Book
Bacardit, J., & Krasnogor, N. (2006). BioHEL: Bioinformatics-oriented Hierarchical Evolutionary Learning. Computer Science & IT

This technical report briefly describes our recent work in the iterative rule learning approach (IRL) of evolutionary learning/genetics-based machine learning. This approach was initiated by the SIA system. A more recent example is HIDER. Our approac... Read More about BioHEL: Bioinformatics-oriented Hierarchical Evolutionary Learning.

Modelling Immunological Memory
Book Chapter
Garrett, S., Robbins, M., Walker, J., Wilson, W., & Aickelin, U. Modelling Immunological Memory. In D. Flower, & J. Timmis (Eds.), Silico Immunology. Springer

Accurate immunological models offer the possibility of performing highthroughput experiments in silico that can predict, or at least suggest, in vivo phenomena. In this chapter, we compare various models of immunological memory. We first validate an... Read More about Modelling Immunological Memory.

Articulation and Clarification of the Dendric Cell Algorithm
Conference Proceeding
Greensmith, J., Aickelin, U., & Twycross, J. Articulation and Clarification of the Dendric Cell Algorithm.

The Dendritic Cell algorithm (DCA) is inspired by recent work in innate immunity. In this paper a formal description of the DCA is given. The DCA is described in detail, and its use as an anomaly detector is illustrated within the context of compute... Read More about Articulation and Clarification of the Dendric Cell Algorithm.

Rule-based and Resource-bounded: A New Look at Epistemic Logic
Conference Proceeding
Jago, M. (2006). Rule-based and Resource-bounded: A New Look at Epistemic Logic.

Syntactic logics do not suffer from the problems of logical omniscience but are often thought to lack interesting properties relating to epistemic notions. By focusing on the case of rule-based agents, I develop a framework for modelling resource-bou... Read More about Rule-based and Resource-bounded: A New Look at Epistemic Logic.

Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling
Book Chapter
Li, J., & Aickelin, U. Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling. In M. Pelikan, K. Sastry, & E. Cantu-Paz (Eds.), Algorithms to Applications (Studies in Computational Intelligence). Springer

Our research has shown that schedules can be built mimicking a human scheduler by using a set of rules that involve domain knowledge. This chapter presents a Bayesian Optimization Algorithm (BOA) for the nurse scheduling problem that chooses such su... Read More about Bayesian Optimisation Algorithm for Nurse Scheduling, Scalable Optimization via Probabilistic Modeling.

A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling
Journal Article
Li, J., Aickelin, U., & Burke, E. A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling

Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptive perturbations, for a nurse scheduling problem arising at a major UK... Read More about A Component Based Heuristic Search Method with AdaptivePerturbations for Hospital Personnel Scheduling.

An Immune Network Intrusion Detection System Utilising Correlation Context
Conference Proceeding
Tedesco, G., & Aickelin, U. An Immune Network Intrusion Detection System Utilising Correlation Context.

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on... Read More about An Immune Network Intrusion Detection System Utilising Correlation Context.

Integrating Innate and Adaptive Immunity for Intrusion Detection
Conference Proceeding
Tedesco, G., Twycross, J., & Aickelin, U. Integrating Innate and Adaptive Immunity for Intrusion Detection.

Network Intrusion Detection Systems (NIDS) monitor a net- work with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDS’s rely on having access to a data... Read More about Integrating Innate and Adaptive Immunity for Intrusion Detection.

Experimenting with Innate Immunity
Conference Proceeding
Twycross, J., & Aickelin, U. Experimenting with Innate Immunity.

libtissue is a software system for implementing and testing AIS algorithms on real-world computer security problems. AIS algorithms are implemented as a collection of cells, antigen and signals interacting within a tissue compartment. Input data to t... Read More about Experimenting with Innate Immunity.