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 …
DMDE: Diversity-maintained multi-trial vector differential evolution algorithm for non-decomposition large-scale global optimization
DE algorithms have outstanding performance in solving complex problems. However, they
also have highlighted the need for an effective approach to alleviating the risk of premature …
also have highlighted the need for an effective approach to alleviating the risk of premature …
Single objective real-parameter optimization: Algorithm jSO
Solving single objective real-parameter optimization problems, also known as a bound-
constrained optimization, is still a challenging task. We can find such problems in …
constrained optimization, is still a challenging task. We can find such problems in …
Ensemble strategies for population-based optimization algorithms–A survey
In population-based optimization algorithms (POAs), given an optimization problem, the
quality of the solutions depends heavily on the selection of algorithms, strategies and …
quality of the solutions depends heavily on the selection of algorithms, strategies and …
Particle swarm optimization or differential evolution—A comparison
AP Piotrowski, JJ Napiorkowski… - Engineering Applications of …, 2023 - Elsevier
In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …
Novel mutation strategy for enhancing SHADE and LSHADE algorithms for global numerical optimization
Proposing new mutation strategies to improve the optimization performance of differential
evolution (DE) is an important research study. Therefore, the main contribution of this paper …
evolution (DE) is an important research study. Therefore, the main contribution of this paper …
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 …
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 …
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 …