Dendritic cell trafficking: from Immunology to Engineering.
Hart, E., & Davoudani, D. (2009)
Dendritic cell trafficking: from Immunology to Engineering. In Artificial Immune Systems. , (11-13). https://doi.org/10.1007/978-3-642-03246-2_4
The field of Artificial Immune Systems (AIS) has derived inspiration from many different elements of the natural immune system in order to develop engineered systems that oper...
Clonal selection from first principles.
McEwan, C., & Hart, E. (2010)
Clonal selection from first principles. In E. Hart, C. McEwan, J. Timmis, & A. Hone (Eds.), Artificial Immune Systems, Proceedings of 9th International Conference, ICARIS 2010, 18-32. https://doi.org/10.1007/978-3-642-14547-6_3
Clonal selection is the keystone of mainstream immunology
and computational systems based on immunological principles. For the
latter, clonal selection is often interpreted as...
Idiotypic networks for evolutionary controllers in virtual creatures.
Capodieci, N., Hart, E., & Cabri, G. (2014)
Idiotypic networks for evolutionary controllers in virtual creatures. In H. Sayama, J. Rieffel, S. Risi, R. Doursat, & H. Lipson (Eds.), Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems, (192-199). https://doi.org/10.7551/978-0-262-32621-6-ch032
We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respective...
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
Gkatzia, D., Hastie, H., & Lemon, O. (2014)
Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data. In Proceedings of the Conference Volume 1: Long Papers. , (1231-1240). https://doi.org/10.3115/v1/p14-1116
We present a novel approach for automatic report generation from time-series data, in the context of student feedback generation. Our proposed methodology treats content selec...
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World
Hale, M. F., Buchanan, E., Winfield, A. F., Timmis, J., Hart, E., Eiben, A. E., …Tyrrell, A. M. (2019)
The ARE Robot Fabricator: How to (Re)produce Robots that Can Evolve in the Real World. In ALIFE 2019: The 2019 Conference on Artificial Life, 95-102. https://doi.org/10.1162/isal_a_00147
The long term vision of the Autonomous Robot Evolution (ARE) project is to create an ecosystem of both virtual and physical robots with evolving brains and bodies. One of the ...
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system.
Hart, E., & Sim, K. (2014)
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system. In Proceedings of PPSN, 13th International Conference on Parallel problem Solving from Nature, (282-291). https://doi.org/10.1007/978-3-319-10762-2_28
Real-world applications of optimisation techniques place more importance on finding approaches that result in acceptable quality solutions in a short time-frame and can provid...
A comparison of dominance mechanisms and simple mutation on non-stationary problems.
Lewis, J., Hart, E., & Ritchie, G. (1998)
A comparison of dominance mechanisms and simple mutation on non-stationary problems. In Parallel Problem Solving from Nature-PPSN V. , (139-148). https://doi.org/10.1007/BFb0056857
It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the add...
Incorporating emissions models within a multi-objective vehicle routing problem.
Urquhart, N. B., Scott, C., & Hart, E. (2013)
Incorporating emissions models within a multi-objective vehicle routing problem. In C. Blum (Ed.), GECCO'13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation, (193-194). https://doi.org/10.1145/2464576.2464663
The vehicle routing problem with time windows (VRPTW) has previously been investigated as a multi-objective problem. In this paper estimated carbon emissions is added as an ob...
Optimising the scheduling and planning of urban milk deliveries.
Urquhart, N. B. (2015)
Optimising the scheduling and planning of urban milk deliveries. In A. M. Mora, & G. Squillero (Eds.), Applications of Evolutionary Computation. , (604-615). https://doi.org/10.1007/978-3-319-16549-3_49
This paper investigates the optimisation of the delivery of dairy products to households in three urban areas. The requirement for the optimisation to be part of the existing ...
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights.
Eiben, A. E., Jansen, B., Michalewicz, Z., & Paechter, B. (2000)
Solving CSPs with evolutionary algorithms using self-adaptive constraint weights. In D. Whitley (Ed.), GECCO-2000 : proceedings of the genetic and evolutionary computation conference, 128-134
This paper examines evolutionary algorithms (EAs) extended by various penalty-based approaches to solve constraint satisfaction
problems (CSPs). In some approaches, the penalt...