Outputs (97)

Corrigendum to “Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles” [Prog. Aero. Sci. 135 (2022) 100861] (2023)
Journal Article
Corrado, G., Ntourmas, G., Sferza, M., Tan, W., Traiforos, N., Arteiro, A., Brown, L., Chronopoulos, D., Daoud, F., Glock, F., Ninic, J., Ozcan, E., Reinoso, J., Schuhmacher, G., & Turner, T. (2023). Corrigendum to “Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles” [Prog. Aero. Sci. 135 (2022) 100861]. Progress in Aerospace Sciences, 139, Article 100903. https://doi.org/10.1016/j.paerosci.2023.100903

The authors consider that the manuscript could benefit from additional information regarding the seamless integration of software tools in Section 3.5. Hence, as the primary researcher working on this part of the study, Weijie Tan was invited to revi... Read More about Corrigendum to “Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles” [Prog. Aero. Sci. 135 (2022) 100861].

An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem (2023)
Journal Article
Sonuç, E., & Özcan, E. (2023). An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem. Expert Systems with Applications, 224, Article 119956. https://doi.org/10.1016/j.eswa.2023.119956

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully been applied to many complex problems over the past decades. However, their performances often vary depending on the choice of the initial settings for thei... Read More about An adaptive parallel evolutionary algorithm for solving the uncapacitated facility location problem.

An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase (2023)
Journal Article
Hong, L., Yu, X., Wang, B., Woodward, J., & Özcan, E. (2023). An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase. Swarm and Evolutionary Computation, 78, Article 101278. https://doi.org/10.1016/j.swevo.2023.101278

Over the past two decades, to overcome the limitations of certain algorithms, ensemble strategies or self-adaptive mechanisms for evolutionary computation algorithms have been proposed. Regardless of how these strategies or mechanisms were designed,... Read More about An improved ensemble particle swarm optimizer using niching behavior and covariance matrix adapted retreat phase.

A generality analysis of multiobjective hyper-heuristics (2023)
Journal Article
Li, W., Özcan, E., Drake, J. H., & Maashi, M. (2023). A generality analysis of multiobjective hyper-heuristics. Information Sciences, 627, 34-51. https://doi.org/10.1016/j.ins.2023.01.047

Selection hyper-heuristics have emerged as high level general-purpose search methodologies that mix and control a set of low-level (meta) heuristics. Previous empirical studies over a range of single objective optimisation problems have shown that th... Read More about A generality analysis of multiobjective hyper-heuristics.

Stacking sequence optimisation of an aircraft wing skin (2023)
Journal Article
Ntourmas, G., Glock, F., Deinert, S., Daoud, F., Schuhmacher, G., Chronopoulos, D., …Ninić, J. (2023). Stacking sequence optimisation of an aircraft wing skin. Structural and Multidisciplinary Optimization, 66(2), Article 31. https://doi.org/10.1007/s00158-022-03483-8

This paper demonstrates a stacking sequence optimisation process of a composite aircraft wing skin. A two-stage approach is employed to satisfy all sizing requirements of this industrial sized, medium altitude, long endurance drone. In the first stag... Read More about Stacking sequence optimisation of an aircraft wing skin.

Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup (2022)
Book Chapter
Kiraz, B., Asta, S., Özcan, E., Köle, M., & Etaner-Uyar, A. S. (2023). Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup. In Engineering Applications of Modern Metaheuristics (1-18). Springer. https://doi.org/10.1007/978-3-031-16832-1_1

Tuning a race car to improve its performance by adopting an effective setup is crucial and an extremely challenging task. The Open Racing Car Simulator, referred to as TORCS, is a well-known simulator in which a race car requires a configuration of t... Read More about Empirical Comparison of Heuristic Optimisation Methods for Automated Car Setup.

An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms (2022)
Journal Article
Gümüş, D. B., Özcan, E., Atkin, J., & Drake, J. H. (2023). An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms. Information Sciences, 619, 153-171. https://doi.org/10.1016/j.ins.2022.11.008

Parameter tuning is a challenging and time-consuming task, crucial to obtaining improved metaheuristic performance. There is growing interest in cross-domain search methods, which consider a range of optimisation problems rather than being specialise... Read More about An investigation of F-Race training strategies for cross domain optimisation with memetic algorithms.

Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles (2022)
Journal Article
Corrado, G., Ntourmas, G., Sferza, M., Traiforos, N., Arteiro, A., Brown, L., …Turner, T. (2022). Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles. Progress in Aerospace Sciences, 135, Article 100861. https://doi.org/10.1016/j.paerosci.2022.100861

Designing an airframe is a complex process as it requires knowledge from multiple disciplines such as aerodynamics, structural mechanics, manufacturing, flight dynamics, which individually lead to very different optimal designs. Furthermore, the grow... Read More about Recent progress, challenges and outlook for multidisciplinary structural optimization of aircraft and aerial vehicles.

Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations (2022)
Journal Article
Hey, J., Siebers, P. O., Nathanail, P., Ozcan, E., & Robinson, D. (2022). Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations. Journal of Building Performance Simulation, https://doi.org/10.1080/19401493.2022.2106309

Modelling energy retrofit adoption in domestic urban building stocks is vital for policymakers aiming to reduce emissions. The use of surrogate models to evaluate building performance combined with optimization procedures can optimize small building... Read More about Surrogate optimization of energy retrofits in domestic building stocks using household carbon valuations.

Many-objective test case generation for graphical user interface applications via search-based and model-based testing (2022)
Journal Article
de Santiago, V. A., Özcan, E., & Balera, J. M. (2022). Many-objective test case generation for graphical user interface applications via search-based and model-based testing. Expert Systems with Applications, 208, Article 118075. https://doi.org/10.1016/j.eswa.2022.118075

The majority of the studies that generate test cases for graphical user interface (GUI) applications are based on or address functional requirements only. In spite of the fact that interesting approaches have been proposed, they do not address functi... Read More about Many-objective test case generation for graphical user interface applications via search-based and model-based testing.