Differential Evolution: A review of more than two decades of research
Since its inception in 1995, Differential Evolution (DE) has emerged as one of the most
frequently used algorithms for solving complex optimization problems. Its flexibility and …
frequently used algorithms for solving complex optimization problems. Its flexibility and …
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 …
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 …
Review of differential evolution population size
AP Piotrowski - Swarm and Evolutionary Computation, 2017 - Elsevier
Abstract Population size of Differential Evolution (DE) algorithms is often specified by user
and remains fixed during run. During the first decade since the introduction of DE the …
and remains fixed during run. During the first decade since the introduction of DE the …
A hybrid differential evolution algorithm and its application in unmanned combat aerial vehicle path planning
CIPDE and JADE are two powerful and effective Differential Evolution (DE) algorithms with
strong exploration and exploitation capabilities. In order to take advantage of these two …
strong exploration and exploitation capabilities. In order to take advantage of these two …
Adaptive differential evolution with ensembling operators for continuous optimization problems
Differential evolution is one of the most popular evolutionary algorithms for continuous
optimization. In this paper, we introduce a new algorithm named the adaptive differential …
optimization. In this paper, we introduce a new algorithm named the adaptive differential …
A novel differential evolution algorithm for solving constrained engineering optimization problems
AW Mohamed - Journal of Intelligent Manufacturing, 2018 - Springer
This paper introduces a novel differential evolution (DE) algorithm for solving constrained
engineering optimization problems called (NDE). The key idea of the proposed NDE is the …
engineering optimization problems called (NDE). The key idea of the proposed NDE is the …
Improving differential evolution with a successful-parent-selecting framework
SM Guo, CC Yang, PH Hsu… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
An effective and efficient successful-parent-selecting framework is proposed to improve the
performance of differential evolution (DE) by providing an alternative for the selection of …
performance of differential evolution (DE) by providing an alternative for the selection of …
Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions
Electric traction motors in automotive applications work in operational conditions
characterized by variable load, rotational speed and other external conditions: this …
characterized by variable load, rotational speed and other external conditions: this …
Adaptive differential evolution with sorting crossover rate for continuous optimization problems
Differential evolution (DE) is one of the best evolutionary algorithms (EAs). The effort of
improving its performance has received great research attentions, such as adaptive DE …
improving its performance has received great research attentions, such as adaptive DE …