Recent advances in differential evolution–an updated survey
Differential Evolution (DE) is arguably one of the most powerful and versatile evolutionary
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
optimizers for the continuous parameter spaces in recent times. Almost 5 years have passed …
Algorithmic design issues in adaptive differential evolution schemes: Review and taxonomy
The performance of most metaheuristic algorithms depends on parameters whose settings
essentially serve as a key function in determining the quality of the solution and the …
essentially serve as a key function in determining the quality of the solution and the …
[HTML][HTML] A survey on evolutionary computation for complex continuous optimization
Complex continuous optimization problems widely exist nowadays due to the fast
development of the economy and society. Moreover, the technologies like Internet of things …
development of the economy and society. Moreover, the technologies like Internet of things …
A survey of evolutionary continuous dynamic optimization over two decades—Part B
This article presents the second Part of a two-Part survey that reviews evolutionary dynamic
optimization (EDO) for single-objective unconstrained continuous problems over the last two …
optimization (EDO) for single-objective unconstrained continuous problems over the last two …
An adaptive differential evolution with combined strategy for global numerical optimization
G Sun, B Yang, Z Yang, G Xu - Soft Computing, 2020 - Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for numerical
optimization. However, the performance of DE significantly relies on its mutation operator …
optimization. However, the performance of DE significantly relies on its mutation operator …
Multidirectional prediction approach for dynamic multiobjective optimization problems
Various real-world multiobjective optimization problems are dynamic, requiring evolutionary
algorithms (EAs) to be able to rapidly track the moving Pareto front of an optimization …
algorithms (EAs) to be able to rapidly track the moving Pareto front of an optimization …
Evolutionary dynamic multiobjective optimization: Benchmarks and algorithm comparisons
Dynamic multiobjective optimization (DMO) has received growing research interest in recent
years since many real-world optimization problems appear to not only have multiple …
years since many real-world optimization problems appear to not only have multiple …
Adaptive differential evolution algorithm with novel mutation strategies in multiple sub-populations
Differential evolution (DE) algorithm has been shown to be a very effective and efficient
approach for solving global numerical optimization problems, which attracts a great attention …
approach for solving global numerical optimization problems, which attracts a great attention …
Function value ranking aware differential evolution for global numerical optimization
Differential evolution (DE) has been experimentally demonstrated to be effective in solving
optimization problems. However, the effectiveness of DE encounters rapid deterioration in …
optimization problems. However, the effectiveness of DE encounters rapid deterioration in …
An adaptive differential evolution algorithm to optimal multi-level thresholding for MRI brain image segmentation
O Tarkhaneh, H Shen - Expert Systems with Applications, 2019 - Elsevier
Segmentation is an important method for MRI medical image analysis as it can provide the
radiologists with noninvasive information about a patient that is crucial to the diagnostic …
radiologists with noninvasive information about a patient that is crucial to the diagnostic …