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[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 …
An intensive and comprehensive overview of JAYA algorithm, its versions and applications
In this review paper, JAYA algorithm, which is a recent population-based algorithm is
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
intensively overviewed. The JAYA algorithm combines the survival of the fittest principle from …
Differential evolution algorithm with wavelet basis function and optimal mutation strategy for complex optimization problem
W Deng, J Xu, Y Song, H Zhao - Applied Soft Computing, 2021 - Elsevier
The optimization performance of differential evolution (DE) algorithm significantly depends
on control parameters and mutation strategy. However, it is difficult to set suitable control …
on control parameters and mutation strategy. However, it is difficult to set suitable control …
Distributed Grey Wolf Optimizer for scheduling of workflow applications in cloud environments
Optimal scheduling of workflows in cloud computing environments is an essential element to
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …
maximize the utilization of Virtual Machines (VMs). In practice, scheduling of dependent …
Applications of artificial intelligence algorithms in the energy sector
H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …
energy management, and distributed energy integration poses new requirements for …
Island-based Cuckoo Search with elite opposition-based learning and multiple mutation methods for solving optimization problems
Abstract The island Cuckoo Search (i CSPM) algorithm is a variation of Cuckoo Search that
uses the island model and highly disruptive polynomial mutation to solve optimization …
uses the island model and highly disruptive polynomial mutation to solve optimization …
A discrete bat algorithm based on Lévy flights for Euclidean traveling salesman problem
Y Saji, M Barkatou - Expert Systems with Applications, 2021 - Elsevier
Bat algorithm is a swarm-intelligence-based metaheuristic proposed in 2010. This algorithm
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
was inspired by echolocation behavior of bats when searching their prey in nature. Since it …
Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer
In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …
Optimization of a solar-based PEM methanol/water electrolyzer using machine learning and animal-inspired algorithms
This contribution scrutinizes the performance of the integrated photovoltaic thermal (PVT)
system with the proton exchange membrane methanol electrolyzer (PEMME) and water …
system with the proton exchange membrane methanol electrolyzer (PEMME) and water …
A new hybrid wrapper TLBO and SA with SVM approach for gene expression data
Gene expression dataset contains a small number of tissues and thousands or tens of
thousands of noisy and redundant genes. This can lead to possibly overfitting and curse of …
thousands of noisy and redundant genes. This can lead to possibly overfitting and curse of …