Professor Ender Ozcan's Outputs (6)

Metaheuristic optimisation of sound absorption performance of multilayered porous materials (2019)
Presentation / Conference Contribution
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Luc, J., & Bécot, F.-X. (2019, September). Metaheuristic optimisation of sound absorption performance of multilayered porous materials. Presented at 23rd International Congress on Acoustics (ICA 2019), Aachen, Germany

The optimization of multilayered-sound-packaging is a challenging task which involves searching the best/op-timal settings for a number of acoustic parameters. The search space size becomes too large to handle by brute force, as the number of those p... Read More about Metaheuristic optimisation of sound absorption performance of multilayered porous materials.

Recent advances in selection hyper-heuristics (2019)
Journal Article
Drake, J. H., Kheiri, A., Özcan, E., & Burke, E. K. (2020). Recent advances in selection hyper-heuristics. European Journal of Operational Research, 285(2), 405-428. https://doi.org/10.1016/j.ejor.2019.07.073

Hyper-heuristics have emerged as a way to raise the level of generality of search techniques for computational search problems. This is in contrast to many approaches, which represent customised methods for a single problem domain or a narrow class o... Read More about Recent advances in selection hyper-heuristics.

Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures (2019)
Presentation / Conference Contribution
Ntourmas, G., Özcan, E., Chronopoulos, D., Glock, F., & Daoud, F. (2019, July). Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures. Presented at 8th European Conference for Aeronautics and Aerospace Sciences (EUCASS), Madrid, Spain

In order to fully exploit the benefits provided by using composite materials in large scale aerospace structures, more efficient detailed design optimisation techniques need to be developed. In the present work, the optimisation procedure is split up... Read More about Towards a streamlined stacking sequence optimisation methodology for blended composite aircraft structures.

Fuzzy Hot Spot Identification for Big Data: An Initial Approach (2019)
Presentation / Conference Contribution
Triguero, I., Tickle, R., Figueredo, G. P., Mesgarpour, M., Ozcan, E., & John, R. I. (2019, June). Fuzzy Hot Spot Identification for Big Data: An Initial Approach. Presented at 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), New Orleans, LA, USA

Hot spot identification problems are present across a wide range of areas, such as transportation, health care and energy. Hot spots are locations where a certain type of event occurs with high frequency. A recent big data approach is capable of iden... Read More about Fuzzy Hot Spot Identification for Big Data: An Initial Approach.

A study on the interpretability of a fuzzy system to control an inverted pendulum (2019)
Presentation / Conference Contribution
Zeren, B., Deveci, M., Coupland, S., John, R., & Ender¨ozcan, E. (2019, June). A study on the interpretability of a fuzzy system to control an inverted pendulum. Presented at International Conference on Fuzzy Systems (Fuzz-IEEE 2019), New Orleans, USA

Fuzzy systems mimic human reasoning and provide solutions to problems under uncertainty via 'computing with words'. This particular strength of fuzzy systems is often discarded in some real world applications where the fuzzy sets are designed for con... Read More about A study on the interpretability of a fuzzy system to control an inverted pendulum.

A review on the self and dual interactions between machine learning and optimisation (2019)
Journal Article
Song, H., Triguero, I., & Özcan, E. (2019). A review on the self and dual interactions between machine learning and optimisation. Progress in Artificial Intelligence, 8(2), 143–165. https://doi.org/10.1007/s13748-019-00185-z

Machine learning and optimisation are two growing fields of artificial intelligence with an enormous number of computer science applications. The techniques in the former area aim to learn knowledge from data or experience, while the techniques from... Read More about A review on the self and dual interactions between machine learning and optimisation.