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 …
Ensemble of differential evolution variants
Differential evolution (DE) is one of the most popular and efficient evolutionary algorithms for
numerical optimization and it has gained much success in a series of academic benchmark …
numerical optimization and it has gained much success in a series of academic benchmark …
Differential evolution with multi-population based ensemble of mutation strategies
Differential evolution (DE) is among the most efficient evolutionary algorithms (EAs) for
global optimization and now widely applied to solve diverse real-world applications. As the …
global optimization and now widely applied to solve diverse real-world applications. As the …
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 …
An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints
This paper presents a novel adaptive hybrid evolutionary firefly algorithm (AHEFA) for shape
and size optimization of truss structures under multiple frequency constraints. This algorithm …
and size optimization of truss structures under multiple frequency constraints. This algorithm …
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 …
Differential evolution: A survey and analysis
Differential evolution (DE) has been extensively used in optimization studies since its
development in 1995 because of its reputation as an effective global optimizer. DE is a …
development in 1995 because of its reputation as an effective global optimizer. DE is a …
Self-adaptive mutation differential evolution algorithm based on particle swarm optimization
S Wang, Y Li, H Yang - Applied Soft Computing, 2019 - Elsevier
Differential evolution (DE) is an effective evolutionary algorithm for global optimization, and
widely applied to solve different optimization problems. However, the convergence speed of …
widely applied to solve different optimization problems. However, the convergence speed of …
An improved differential evolution algorithm with dual mutation strategies collaboration
Y Li, S Wang, B Yang - Expert Systems with Applications, 2020 - Elsevier
To reduce the effect of the selections of mutation strategies and control parameters on the
performance of differential evolution (DE), this paper proposes an improved differential …
performance of differential evolution (DE), this paper proposes an improved differential …