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HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain (2018)
Journal Article
Caraffini, F., Neri, F., & Epitropakis, M. (2019). HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Information Sciences, 477, 186-202. https://doi.org/10.1016/j.ins.2018.10.033

© 2018 Elsevier Inc. This article proposes a simplistic algorithmic framework, namely hyperSPAM, composed of three search algorithms for addressing continuous optimisation problems. The Covariance Matrix Adaptation Evolution Strategy (CMAES) is activ... Read More about HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain.

A study on rotation invariance in differential evolution (2018)
Journal Article
Caraffini, F., & Neri, F. (2019). A study on rotation invariance in differential evolution. Swarm and Evolutionary Computation, 50, Article 100436. https://doi.org/10.1016/j.swevo.2018.08.013

Epistasis is the correlation between the variables of a function and is a challenge often posed by real-world optimisation problems. Synthetic benchmark problems simulate a highly epistatic problem by performing a so-called problem's rotation. Mut... Read More about A study on rotation invariance in differential evolution.

Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request (2018)
Journal Article
Wu, T., Bîlbîe, F., Pǎun, A., Pan, L., & Neri, F. (2018). Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request. International Journal of Neural Systems, 28(8), Article 1850013. https://doi.org/10.1142/S0129065718500132

© 2018 World Scientific Publishing Company. Spiking neural P systems are a class of third generation neural networks belonging to the framework of membrane computing. Spiking neural P systems with communication on request (SNQ P systems) are a type o... Read More about Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request.

Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy (2018)
Journal Article
Al-Dabbagh, R. D., Neri, F., Idris, N., & Baba, M. S. (2018). Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy. Swarm and Evolutionary Computation, 43, 284-311. https://doi.org/10.1016/j.swevo.2018.03.008

© 2018 Elsevier B.V. The performance of most metaheuristic algorithms depends on parameters whose settings essentially serve as a key function in determining the quality of the solution and the efficiency of the search. A trend that has emerged recen... Read More about Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy.