Evolutionary scheduling: a review. (2005)
Journal Article
Hart, E., Ross, P., & Corne, D. (2005). Evolutionary scheduling: a review. Genetic Programming and Evolvable Machines, 6, 191-220. https://doi.org/10.1007/s10710-005-7580-7

Early and seminal work which applied evolutionary computing methods to scheduling problems from 1985 onwards laid a strong and exciting foundation for the work which has been reported over the past decade or so. A survey of the current state-of-the-a... Read More about Evolutionary scheduling: a review..

The impact of the shape of antibody recognition regions on the emergence of idiotypic networks. (2005)
Journal Article
Hart, E., & Ross, P. (2005). The impact of the shape of antibody recognition regions on the emergence of idiotypic networks. International Journal of Unconventional Computing, 1, 281-313

One of the components of an AIS algorithm that most distinguishes it from other paradigms is the use of an affinity funciton. However, for the most part, the implications of choosing a suitable matching rule and the likely effects on the algorithm fr... Read More about The impact of the shape of antibody recognition regions on the emergence of idiotypic networks..

Improving vehicle routing using a customer waiting time colony. (2004)
Presentation / Conference Contribution
Sa'adah, S., Ross, P., & Paechter, B. (2004, April). Improving vehicle routing using a customer waiting time colony

In the vehicle routing problem with time windows (VRPTW), there are two main objectives. The primary objective is to reduce the number of vehicles, the secondary one is to minimise the total distance travelled by all vehicles. This paper describes so... Read More about Improving vehicle routing using a customer waiting time colony..

Exploiting the analogy between the immune system and sparse distributed memory. (2003)
Journal Article
Hart, E., & Ross, P. (2003). Exploiting the analogy between the immune system and sparse distributed memory. Genetic Programming and Evolvable Machines, 4(4), 333-358. https://doi.org/10.1023/a%3A1026191011609

The relationship between immunological memory and a class of associative memories known as sparse distributed memories (SDM) is well known. This paper proposes a new model for clustering non-stationary data based on a combination of salient features... Read More about Exploiting the analogy between the immune system and sparse distributed memory..

A role for immunology in 'next generation' robots. (2003)
Presentation / Conference Contribution
Hart, E., Ross, P., Webb, A., & Lawson, A. (2003, September). A role for immunology in 'next generation' robots. Presented at Second International Conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003, Proceedings: volume 2787 of Lecture Notes on Computer Science: Artificial Immune Systems, Editors: Timmis, J., Bentley, P. and Hart, E., Springer, ISBN: 978-3-540-40766-9

Much of current robot research is about learning tasks in which the task to be achieved is pre-specified, a suitable technology for the task is chosen and the learning process is experimentally investigated. A more interesting research question is ho... Read More about A role for immunology in 'next generation' robots..

Requirements for getting a robot to grow up. (2003)
Presentation / Conference Contribution
Ross, P., Hart, E., Lawson, A., Webb, A., Prem, E., Poelz, P., & Morgavi, G. (2003, September). Requirements for getting a robot to grow up. Presented at 7th European Conference on Artificial Life, ECAL 2003: Advances in Artificial Life

Controlling a simulated Khepera with an XCS classifier system with memory. (2003)
Presentation / Conference Contribution
Webb, A., Hart, E., Ross, P., & Lawson, A. (2003, September). Controlling a simulated Khepera with an XCS classifier system with memory. Presented at 7th European Conference on Artificial Life, ECAL 2003: Advances in Artificial Life

Autonomous agents commonly suffer from perceptual aliasing in which differing situations are perceived as identical by the robots sensors, yet require different courses of action. One technique for addressing this problem is to use additional interna... Read More about Controlling a simulated Khepera with an XCS classifier system with memory..

Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyperheuristics. (2003)
Presentation / Conference Contribution
Ross, P., Marin-Blazquez, J. G., Schulenburg, S., & Hart, E. (2003, July). Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyperheuristics. Presented at Genetic and Evolutionary Computation Conference (GECCO) 2003

The idea underlying hyper-heuristics is to discover some
combination of familiar, straightforward heuristics that performs very well across a whole range of problems. To be worthwhile, such a combination should outperform all of the constituent heur... Read More about Learning a procedure that can solve hard bin-packing problems: a new GA-based approach to hyperheuristics..

Solving a real world routing problem using evolutionary agents. (2002)
Presentation / Conference Contribution
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002, September). Solving a real world routing problem using evolutionary agents. Presented at Parallel Problem Solving From Nature VII, Granada, Spain

This paper investigates the solving of a real world routing problem using evolutionary algorithms embedded within a Multi-agent system (MAS). An architecture for the MAS is proposed and mechanisms for controlling the interactions of agents are invest... Read More about Solving a real world routing problem using evolutionary agents..

Hyper-heuristics: learning to combine simple heuristics in bin-packing problems. (2002)
Presentation / Conference Contribution
Ross, P., Schulenburg, S., Marin-Blazquez, J. G., & Hart, E. (2002, July). Hyper-heuristics: learning to combine simple heuristics in bin-packing problems. Presented at Genetic and Evolutionary Computation Conference (GECCO)

Evolutionary algorithms (EAs) often appear to be a ‘black box’, neither offering worst-case bounds nor any guarantee of optimality when used to solve individual problems. They can also take much longer than non-evolutionary methods. We
try to addres... Read More about Hyper-heuristics: learning to combine simple heuristics in bin-packing problems..

Improving street based routing using building block mutations. (2002)
Presentation / Conference Contribution
Urquhart, N. B., Ross, P., Paechter, B., & Chisholm, K. (2002, April). Improving street based routing using building block mutations. Presented at Workshops on Applications of Evolutionary Computation EvoWorkshops 2002, Kinsale, Ireland

Street based routing (SBR) is a real-world inspired routing problem that builds routes within an urban area for mail deliveries. The authors have previously attempted to solve this problem using an Evolutionary Algorithm (EA). In this paper the autho... Read More about Improving street based routing using building block mutations..