51 citations · 54 across the 6 of their papers we have counts for
6 papers
HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin +3
The human mental search (HMS) algorithm is a relatively recent population-based metaheuristic algorithm, which has shown competitive performance in solving complex optimisation pro…
Segmentation of Brain MRI using an Altruistic Harris Hawks' Optimization algorithm
Rajarshi Bandyopadhyay, Rohit Kundu, Diego Oliva +1
Segmentation is an essential requirement in medicine when digital images are used in illness diagnosis, especially, in posterior tasks as analysis and disease identification. An ef…
Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning
Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa +1
Training multi-layer neural networks (MLNNs), a challenging task, involves finding appropriate weights and biases. MLNN training is important since the performance of MLNNs is main…
A multilevel thresholding algorithm using Electromagnetism Optimization
Diego Oliva, Erik Cuevas, Gonzalo Pajares +2
Segmentation is one of the most important tasks in image processing. It consist in classify the pixels into two or more groups depending on their intensity levels and a threshold v…
Opposition Based ElectromagnetismLike for Global Optimization
Erik Cuevas, Diego Oliva, Daniel Zaldivar +2
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions. EMO employ…
Block matching algorithm based on Differential Evolution for motion estimation
Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros +1
Motion estimation is one of the major problems in developing video coding applications. Among all motion estimation approaches, Block matching (BM) algorithms are the most popular…