no code implementations • 3 May 2023 • Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Fardin Mohammadi
In this article, we propose a novel method for detecting plagiarism that is based on attention mechanism-based long short-term memory (LSTM) and bidirectional encoder representations from transformers (BERT) word embedding, enhanced with optimized differential evolution (DE) method for pre-training and a focal loss function for training.
no code implementations • 7 Jun 2022 • Erick Rodríguez-Esparza, Antonio D Masegosa, Diego Oliva, Enrique Onieva
Electric vehicles (EVs) have been adopted in urban areas to reduce environmental pollution and global warming as a result of the increasing number of freight vehicles.
no code implementations • 19 Nov 2021 • Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam, Mehrdad Saadatmand
The human mental search (HMS) algorithm is a relatively recent population-based metaheuristic algorithm, which has shown competitive performance in solving complex optimisation problems.
1 code implementation • 17 Sep 2021 • Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva, Ram Sarkar
In this paper, we perform the multi-level thresholding using an evolutionary metaheuristic.
no code implementations • 29 Jun 2021 • Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer
This improves exploitation since the new member is obtained based on the best individuals, while the employed DOBL strategy, which uses the opposite of an individual, leads to enhanced exploration.
no code implementations • 24 Jun 2014 • Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentin Osuna
Such samples build each particle in the EMO context whereas its quality is evaluated considering the objective that is function employed by the Otsu or Kapur method.
no code implementations • 30 May 2014 • Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez-Cisneros, Humberto Sossa
The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.
no code implementations • 20 May 2014 • Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez, Gonzalo Pajares
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions.