Outputs (24)

A Recommender System based on Idiotypic Artificial Immune Networks (2005)
Journal Article
Cayzer, S., & Aickelin, U. (2005). A Recommender System based on Idiotypic Artificial Immune Networks. https://doi.org/10.1007/s10852-004-5336-7

The immune system is a complex biological system with a highly distributed, adaptive and self-organising nature. This paper presents an Artificial Immune System (AIS) that exploits some of these characteristics and is applied to the task of film reco... Read More about A Recommender System based on Idiotypic Artificial Immune Networks.

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems (2005)
Book Chapter
Burke, E., Dror, M., Petrovic, S., & Qu, R. (2005). Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems. In B. Golden, S. Raghavan, & E. Wasil (Eds.), The Next Wave in Computing, Optimization, and Decision Technologies. Springer

This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems. Hyper-heuristics can be seen as algorithms which inte... Read More about Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems.

A Decomposition, Construction and Post-Processing Approach for Nurse Rostering (2005)
Presentation / Conference Contribution
Brucker, P., Qu, R., Burke, E., & Post, G. A Decomposition, Construction and Post-Processing Approach for Nurse Rostering. Presented at Multidisciplinary International Conference on Scheduling : Theory and Applications

This paper presents our work on decomposing a specific nurse rostering problem by cyclically assigning blocks of shifts, which are designed considering both hard and soft constraints, to groups of nurses. The rest of the shifts are then assigned to t... Read More about A Decomposition, Construction and Post-Processing Approach for Nurse Rostering.

Artificial immune systems (2005)
Book Chapter
Aickelin, U., & Dasgupta, D. (2005). Artificial immune systems. In E. K. Burke, & G. Kendall (Eds.), Search Methodologies : Introductory Tutorials in Optimisation, Decision Support Techniques. Springer. https://doi.org/10.1007/0-387-28356-0

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distri... Read More about Artificial immune systems.