Clonal selection from first principles.
Conference Proceeding
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...
An immune system approach to scheduling in changing environments.
Conference Proceeding
Hart, E., & Ross, P. (1998)
An immune system approach to scheduling in changing environments. In W. Banzhaf, J. M. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, & R. E. Smith (Eds.), GECCO-99 : proceedings of the genetic and evolutionary computation conference. Volume 2, 1559-1566
This paper describes the application of an artificial immune system, (AIS), model to a scheduling application, in which sudden changes in the scheduling environment require th...
Double-Port Slotted-Antenna with Multiple Miniaturized Radiators for Wideband Wireless Communication Systems and Portable Devices
Journal Article
Alibakhshikenari, M., Khalily, M., Virdee, B. S., Ali, A., Shukla, P., See, C. H., …Limiti, E. (2019)
Double-Port Slotted-Antenna with Multiple Miniaturized Radiators for Wideband Wireless Communication Systems and Portable Devices. Progress in Electromagnetics Research C: PIER C, 90, 1-13. https://doi.org/10.2528/pierc18011204
Proof-of-concept is presented of a novel slot antenna structure with two excitation ports. Although this antenna provides a wide impedance bandwidth, its peak gain and optimum...
Multi-Modal employee routing with time windows in an urban environment.
Conference Proceeding
Urquhart, N. B., Hart, E., & Judson, A. (2015)
Multi-Modal employee routing with time windows in an urban environment. In Proceedings of the 2015 Genetic and Evolutionary Algorithms Conference (1503-1504). https://doi.org/10.1145/2739482.2764649
An urban environment provides a number of challenges and opportunities
for organisations faced with the task of scheduling a mobile
workforce. Given a mixed set of public and ...
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes
Conference Proceeding
Gkatzia, D., Rieser, V., Bartie, P., & Mackaness, W. (2015)
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 1936-1942. https://doi.org/10.18653/v1/d15-1224
Predicting the success of referring expressions (RE) is vital for real world applications such as navigation systems. Traditionally, research has focused on studying Referring...
On the life-long learning capabilities of a NELLI*: a hyper-heuristic optimisation system.
Conference Proceeding
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.
Conference Proceeding
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...
Algorithm selection using deep learning without feature extraction
Conference Proceeding
Alissa, M., Sim, K., & Hart, E. (2019)
Algorithm selection using deep learning without feature extraction. In GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. , (198-206). https://doi.org/10.1145/3321707.3321845
We propose a novel technique for algorithm-selection which adopts a deep-learning approach, specifically a Recurrent-Neural Network with Long-Short-Term-Memory (RNN-LSTM). In ...
A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector
Conference Proceeding
Hart, E., Sim, K., Gardiner, B., & Kamimura, K. (2017)
A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. , (1121-1128). https://doi.org/10.1145/3071178.3071217
Catastrophic damage to forests resulting from major storms has resulted in serious timber and financial losses within the sector across Europe in the recent past. Developing r...
A novel similarity-based mutant vector generation strategy for differential evolution
Conference Proceeding
Segredo, E., Lalla-Ruiz, E., & Hart, E. (2018)
A novel similarity-based mutant vector generation strategy for differential evolution. In H. Aguirre (Ed.), Proceedings of the Genetic and Evolutionary Computation Conference 2018https://doi.org/10.1145/3205455.3205628
The mutant vector generation strategy is an essential component of Differential Evolution (DE), introduced to promote diversity, resulting in exploration of novel areas of the...