no code implementations • 21 Sep 2023 • Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Energy consumption is a fundamental concern in mobile application development, bearing substantial significance for both developers and end-users.
no code implementations • 16 Jun 2023 • Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Energy consumption plays a vital role in mobile App development for developers and end-users, and it is considered one of the most crucial factors for purchasing a smartphone.
no code implementations • 4 May 2023 • Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Hamzeh Mohammadigheymasi, Sebastião Pais, Seyed Nooreddin Jafari, Nuno M. Garcia
This paper employs an enhanced differential evolution (DE) algorithm for the training process as one of the most effective population-based algorithms.
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 • 13 Dec 2022 • Seyed Jalaleddin Mousavirad, Luís A Alexandre
To this end, we propose a novel objective function for population-based JPEG image compression.
1 code implementation • 9 Sep 2022 • Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Also, two Pareto-based methods, including a non-dominated sorting genetic algorithm (NSGA-II) and a reference-point-based NSGA-II (NSGA-III) are used for the embedding scheme, and two Pareto-based algorithms, EnNSGAII and EnNSGAIII, are presented.
no code implementations • 22 Mar 2022 • Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper
This paper presents an extended version of Deeper, a search-based simulation-integrated test solution that generates failure-revealing test scenarios for testing a deep neural network-based lane-keeping system.
no code implementations • 20 Nov 2021 • Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
This is not necessarily the best criterion to choose the winner group and limits the exploration ability of the algorithm.
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.
no code implementations • 17 Oct 2021 • Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand
To this end, this paper employs a PBMH algorithm, artificial bee colony (ABC), to moderate the problem.
no code implementations • 20 Sep 2021 • Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
Differential evolution (DE) is an effective population-based metaheuristic algorithm for solving complex optimisation problems.
1 code implementation • 2 Jul 2021 • Davood Zabihzadeh, Zahraa Alitbi, Seyed Jalaleddin Mousavirad
The proposed ensemble of losses enforces the deep model to extract features that are consistent with all losses.
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 • 7 Mar 2020 • Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad
To the best our knowledge, there is no significant study to assess benchmark functions with various dimensions and landscape properties to investigate CD algorithm.