Recent developments in equilibrium optimizer algorithm: its variants and applications
There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …
various events observable in nature, such as evolutionary phenomena, the actions of social …
Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems
The equilibrium optimizer (EO) is a recently proposed physics-based metaheuristic
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
algorithm inspired by the dynamic mass balance on a control volume. However, EO may …
Equilibrium optimizer: a comprehensive survey
Equilibrium optimizer (EO) is a recent optimization method inspired by the physical equation
of the mass balance that provides the conservation of mass entering, leaving, and …
of the mass balance that provides the conservation of mass entering, leaving, and …
A chimp-inspired remora optimization algorithm for multilevel thresholding image segmentation using cross entropy
Q Liu, N Li, H Jia, Q Qi, L Abualigah - Artificial Intelligence Review, 2023 - Springer
Multilevel thresholding is one of the most commonly used methods in image segmentation.
However, the exhaustive search methods are costly in determining optimal thresholds and …
However, the exhaustive search methods are costly in determining optimal thresholds and …
Differential exponential entropy-based multilevel threshold selection methodology for colour satellite images using equilibrium-cuckoo search optimizer
Recently, the entropic based multilevel threshold selection methods use 2D histogram,
which is constructed using the local averages, leading to a loss of edges. Further, the …
which is constructed using the local averages, leading to a loss of edges. Further, the …
A framework for co-evolutionary algorithm using Q-learning with meme
K Jiao, J Chen, B Xin, L Li, Z Zhao, Y Zheng - Expert Systems With …, 2023 - Elsevier
A large number of metaheuristic algorithms have been proposed in the last three decades,
but no metaheuristic algorithm is superior to the others for all the optimization problems. It is …
but no metaheuristic algorithm is superior to the others for all the optimization problems. It is …
A non-entropy-based optimal multilevel threshold selection technique for COVID-19 X-ray images using chance-based birds' intelligence
Recently, image thresholding methods based on various entropy functions have been found
popularity. Nonetheless, entropic-based methods depend on the spatial distribution of the …
popularity. Nonetheless, entropic-based methods depend on the spatial distribution of the …
A modified equilibrium optimizer using opposition-based learning and teaching-learning strategy
X Wang, J Hu, J Hu, Y Wang - IEEE Access, 2022 - ieeexplore.ieee.org
Equilibrium Optimizer (EO) is a newly developed intelligent optimization algorithm inspired
by control volume mass balance models. EO has been proven to have an excellent solution …
by control volume mass balance models. EO has been proven to have an excellent solution …
Equilibrium optimizer with divided population based on distance and its application in feature selection problems
Y Li, W Wang, J Liu, H Zhou - Knowledge-Based Systems, 2022 - Elsevier
Effective machine learning relies on feature selection (FS) to preprocess the data to search
for the best feature subset among all feature combinations, which is a global optimization …
for the best feature subset among all feature combinations, which is a global optimization …
Improved slime mold algorithm with dynamic quantum rotation gate and opposition-based learning for global optimization and engineering design problems
Y Zhang, S Du, Q Zhang - Algorithms, 2022 - mdpi.com
The slime mold algorithm (SMA) is a swarm-based metaheuristic algorithm inspired by the
natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is …
natural oscillatory patterns of slime molds. Compared with other algorithms, the SMA is …