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A Membrane Parallel Rapidly-Exploring Random Tree Algorithm for Robotic Motion Planning (2020)
Journal Article
Pérez-Hurtado, I., Martínez-Del-Amor, M. A., Zhang, G., Neri, F., & Pérez-Jiménez, M. J. (2020). A Membrane Parallel Rapidly-Exploring Random Tree Algorithm for Robotic Motion Planning. Integrated Computer-Aided Engineering, https://doi.org/10.3233/ICA-190616

In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random Tree (RRT) algorithm and its as... Read More about A Membrane Parallel Rapidly-Exploring Random Tree Algorithm for Robotic Motion Planning.

A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation (2020)
Conference Proceeding
Neri, F., & Rostami, S. (in press). A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation

Pattern Search is a family of optimisation algorithms that improve upon an initial solution by performing moves along the directions of a basis of vectors. In its original definition Pattern Search moves along the directions of each variable. Amongst... Read More about A Local Search for Numerical Optimisation based on Covariance Matrix Diagonalisation.

A Local Search with a Surrogate Assisted Option for Instance Reduction (2020)
Conference Proceeding
Neri, F., & Triguero, I. (in press). A Local Search with a Surrogate Assisted Option for Instance Reduction

In data mining, instance reduction is a key data pre-processing step that simplifies and cleans raw data, by either selecting or creating new samples, before applying a learning algorithm. This usually yields to a complex large scale and computationa... Read More about A Local Search with a Surrogate Assisted Option for Instance Reduction.

Linear Algebra for Computational Sciences and Engineering (2019)
Book
Neri, F. (2019). Linear Algebra for Computational Sciences and Engineering. New York: Springer. https://doi.org/10.1007/978-3-030-21321-3

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need,... Read More about Linear Algebra for Computational Sciences and Engineering.

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, 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.