A review of population-based metaheuristics for large-scale black-box global optimization—Part I
Scalability of optimization algorithms is a major challenge in co** with the ever-growing
size of optimization problems in a wide range of application areas from high-dimensional …
size of optimization problems in a wide range of application areas from high-dimensional …
Differential evolution based on covariance matrix learning and bimodal distribution parameter setting
Differential evolution (DE) is an efficient and robust evolutionary algorithm, which has been
widely applied to solve global optimization problems. As we know, crossover operator plays …
widely applied to solve global optimization problems. As we know, crossover operator plays …
An adaptive island evolutionary algorithm for the berth scheduling problem
MA Dulebenets - Memetic Computing, 2020 - Springer
Increasing volumes of the seaborne containerized trade put additional pressure on marine
container terminal operators. Long congestion periods have been reported at certain marine …
container terminal operators. Long congestion periods have been reported at certain marine …
A new hybrid algorithm for solving large scale global optimization problems
X Wu, Y Wang, J Liu, N Fan - IEEE Access, 2019 - ieeexplore.ieee.org
For large scale global optimization (LSGO) problems, many algorithms have been proposed
in recent years. However, there are still some issues to be further handled since the search …
in recent years. However, there are still some issues to be further handled since the search …
Motion artifacts reduction from PPG using cyclic moving average filter
J Lee - Technology and Health Care, 2014 - content.iospress.com
The photoplethysmogram (PPG) is an extremely useful medical diagnostic tool. However,
PPG signals are highly susceptible to motion artifacts. In this paper, we propose a cyclic …
PPG signals are highly susceptible to motion artifacts. In this paper, we propose a cyclic …
An industry maintenance planning optimization problem using CMA-VNS and its variations
A Zholobova, Y Zholobov, I Polyakov… - … Optimization Theory and …, 2021 - Springer
In this article, we consider the statement of a problem described in the competition
ROADEF/EURO challenge 2020 [4] dedicated to a maintenance planning optimization …
ROADEF/EURO challenge 2020 [4] dedicated to a maintenance planning optimization …
Gradual Search and Fixed Grou** Scheme Based Variant of Genetic Algorithm for Large Scale Global Optimization
B Choithram Dharmani - International Symposium on Intelligent Informatics, 2022 - Springer
Abstract Large Scale Global Optimization (LSGO) is an identified problem in the literature
and almost all Bio-inspired metaheuristic search-based optimization algorithms, including …
and almost all Bio-inspired metaheuristic search-based optimization algorithms, including …
Evolutionary algorithms in high-dimensional radio access network optimization
D Semenchikov, A Filippova, D Volf… - Proceedings of the …, 2021 - dl.acm.org
This article describes the project result of modeling and optimizing Radio Access Network.
We have proposed a solution for controlling a large number of antennas in the conditions of …
We have proposed a solution for controlling a large number of antennas in the conditions of …
A New Evolutionary Algorithm Based on Self-Adaptive Grou** and Efficient Resource Allocation
S Liu, L Liu, X Liu, Y Wang, B Bai - … , Intl Conf on Cloud and Big …, 2019 - ieeexplore.ieee.org
To solve large scale optimization problem, a new evolutionary algorithm using variable
grou** and allocating computational resource based on contribution is proposed in this …
grou** and allocating computational resource based on contribution is proposed in this …
Gradual Search and Fixed Grou** Scheme Based Variant of Genetic Algorithm for Large Scale Global Optimization
BC Dharmani - … on Intelligent Informatics: Proceedings of ISI …, 2023 - books.google.com
Abstract Large Scale Global Optimization (LSGO) is an identified problem in the literature
and almost all Bio-inspired metaheuristic search-based optimization algorithms, including …
and almost all Bio-inspired metaheuristic search-based optimization algorithms, including …