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 …
Self-adaptive differential evolution
Differential Evolution (DE) is generally considered as a reliable, accurate, robust and fast
optimization technique. DE has been successfully applied to solve a wide range of …
optimization technique. DE has been successfully applied to solve a wide range of …
HARD-DE: Hierarchical archive based mutation strategy with depth information of evolution for the enhancement of differential evolution on numerical optimization
Differential evolution is a famous and effective branch of evolutionary computation, which
aims at tackling complex optimization problems. There are two aspects significantly affecting …
aims at tackling complex optimization problems. There are two aspects significantly affecting …
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 …
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 …
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 multiple strategies for solving CEC2011 real-world numerical optimization problems
SM Elsayed, RA Sarker… - 2011 IEEE Congress of …, 2011 - ieeexplore.ieee.org
Over the last two decades, many Differential Evolution (DE) strategies have been introduced
for solving Optimization Problems. Due to the variability of the characteristics in optimization …
for solving Optimization Problems. Due to the variability of the characteristics in optimization …
Differential evolution with neighborhood and direction information for numerical optimization
Y Cai, J Wang - IEEE Transactions on Cybernetics, 2013 - ieeexplore.ieee.org
Differential evolution (DE) is a simple and powerful population-based evolutionary
algorithm, successfully used in various scientific and engineering fields. Although DE has …
algorithm, successfully used in various scientific and engineering fields. Although DE has …
Enhancing the performance of differential evolution using orthogonal design method
Differential evolution (DE) is a simple and efficient global optimization algorithm. It has been
successfully applied to solve a wide range of real-world optimization problems. However …
successfully applied to solve a wide range of real-world optimization problems. However …
An improved differential evolution algorithm with fitness-based adaptation of the control parameters
Differential Evolution (DE) is arguably one of the most powerful stochastic real-parameter
optimization algorithms of current interest. DE operates through the similar computational …
optimization algorithms of current interest. DE operates through the similar computational …