Differential evolution algorithm for single objective bound-constrained optimization: Algorithm j2020

J Brest, MS Maučec, B Bošković - 2020 IEEE congress on …, 2020 - ieeexplore.ieee.org
In this paper, a new algorithm is presented to deal with real parameter single-objective
optimization problems, which are often complex and computationally very expensive. The …

The 100-digit challenge: Algorithm jDE100

J Brest, MS Maučec, B Bošković - 2019 IEEE congress on …, 2019 - ieeexplore.ieee.org
Real parameter optimization problems are often very complex and computationally
expensive. We can find such problems in engineering and scientific applications. In this …

Self-adaptive differential evolution algorithm with population size reduction for single objective bound-constrained optimization: Algorithm j21

J Brest, MS Maučec, B Bošković - 2021 IEEE Congress on …, 2021 - ieeexplore.ieee.org
In this paper, we propose a new algorithm for solving real parameter single-objective
optimization problems that were prepared for the CEC 2021 Special Session and …

Differential evolution and particle swarm optimization against COVID-19

AP Piotrowski, AE Piotrowska - Artificial Intelligence Review, 2022 - Springer
COVID-19 disease, which highly affected global life in 2020, led to a rapid scientific
response. Versatile optimization methods found their application in scientific studies related …

Differential Evolution: A Survey on Their Operators and Variants

E Reyes-Davila, EH Haro, A Casas-Ordaz… - … Methods in Engineering, 2024 - Springer
Abstract The Differential Evolution (DE) algorithm is one of the most popular and studied
approaches in Evolutionary Computation (EC). Its simple but efficient design, such as its …

Creation of realistic virtual aggregate avatars

A Garcia-Hernandez, S Michot-Roberto… - Powder Technology, 2021 - Elsevier
The ability to create realistic digital aggregates is the first step to computationally optimise
civil engineering materials such as concrete, asphalt, or ballast, which are based on …

Online auto-tuning of multiresonant current controller with nature-inspired optimization algorithms and disturbance in the loop approach

T Tarczewski, D Stojic, R Szczepanski, L Niewiara… - Applied Soft …, 2023 - Elsevier
This paper presents a novel tuning method of a complex multiresonant current controller
(MRCC). An online auto-tuning process is proposed to provide optimal coefficients suitable …

Robot path planning using differential evolution

S Jain, VK Sharma, S Kumar - Advances in Computing and Intelligent …, 2020 - Springer
The differential evaluation (DE) algorithm is an evolutionary algorithm. It is a popular
metaheuristics that efficiently solved various complex optimization problems. This paper …

Peregrine preying pattern based differential evolution for robot path planning

S Jain, S Kumar, VK Sharma… - Journal of Interdisciplinary …, 2020 - Taylor & Francis
Differential evolution (DE) is a simple and robust evolutionary algorithm. DE has three
simple steps and it is easy to implement. It is a popular meta-heuristics that efficiently solved …

Automated classification of soil images using chaotic Henry's gas solubility optimization: Smart agricultural system

R Agarwal, NS Shekhawat, AK Luhach - Microprocessors and …, 2021 - Elsevier
The advancements in automation and image processing techniques lead to the agricultural
research a prime focus for the researchers. Soil quality prediction is one of the important …