[HTML][HTML] Differential evolution: A recent review based on state-of-the-art works
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …
evolution and has been studied extensively to solve different areas of optimisation and …
Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
A competitive mechanism based multi-objective differential evolution algorithm and its application in feature selection
A large number of evolutionary algorithms have been introduced for multi-objective
optimization problems in the past two decades. However, the compromise of convergence …
optimization problems in the past two decades. However, the compromise of convergence …
A novel hybrid machine learning algorithm for limited and big data modeling with application in industry 4.0
To meet the challenges of manufacturing smart products, the manufacturing plants have
been radically changed to become smart factories underpinned by industry 4.0 …
been radically changed to become smart factories underpinned by industry 4.0 …
3D road lane classification with improved texture patterns and optimized deep classifier
B Janakiraman, S Shanmugam, R Pérez de Prado… - Sensors, 2023 - mdpi.com
The understanding of roads and lanes incorporates identifying the level of the road, the
position and count of lanes, and ending, splitting, and merging roads and lanes in highway …
position and count of lanes, and ending, splitting, and merging roads and lanes in highway …
Multi-objective command filtered adaptive control for nonlinear hydraulic active suspension systems
R Hao, H Wang, S Liu, M Yang, Z Tian - Nonlinear Dynamics, 2021 - Springer
This paper proposes a new multi-objective command filtered adaptive control strategy for the
active suspension systems with nonlinear hydraulic actuators. Firstly, command filters are …
active suspension systems with nonlinear hydraulic actuators. Firstly, command filters are …
Foreign exchange forecasting and portfolio optimization strategy based on hybrid-molecular differential evolution algorithms
X Zhang, C Zhong, L Abualigah - Soft Computing, 2023 - Springer
At present, the COVID-19 epidemic is still spreading at home and abroad, and the foreign
exchange market is highly volatile. From financial institutions to individual investors, foreign …
exchange market is highly volatile. From financial institutions to individual investors, foreign …
A novel scheduling approach of stochastic cogeneration model in power system environment using improved civilized swarm search algorithm to reduce cost and …
This study explores a cogeneration system's optimal commitment and generation scheduling
while considering power and heat demand uncertainty. The deterministic model …
while considering power and heat demand uncertainty. The deterministic model …
Dynamic multi-objective differential evolution algorithm based on the information of evolution progress
Y Hou, YL Wu, Z Liu, HG Han, P Wang - Science China Technological …, 2021 - Springer
The multi-objective differential evolution (MODE) algorithm is an effective method to solve
multi-objective optimization problems. However, in the absence of any information of …
multi-objective optimization problems. However, in the absence of any information of …
Endmember bundle extraction based on multiobjective optimization
A number of endmember extraction methods have been developed to identify pure pixels in
hyperspectral images (HSIs). The majority of them use only one spectrum to represent one …
hyperspectral images (HSIs). The majority of them use only one spectrum to represent one …