Heterogeneous Differential Evolution for Numerical Optimization
Differential evolution (DE) is a population-based stochastic search algorithm which has shown a good performance in solving many benchmarks and real-world optimization problems. Individuals in the standard DE, and most of its modifications, exhibit the same search characteristics because of the use...
Main Authors: | Hui Wang, Wenjun Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2014-01-01
|
Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2014/318063 |
Similar Items
-
Opposition-Based Differential Evolution
by: Rahnamayan, Shahryar
Published: (2007) -
Opposition-Based Differential Evolution
by: Rahnamayan, Shahryar
Published: (2007) -
Multi-Objective Optimization of Wavelet-Packet-Based Features in Pathological Diagnosis of Alzheimer Using Spontaneous Speech Signals
by: Mahda Nasrolahzadeh, et al.
Published: (2020-01-01) -
Ranking Multi-Metric Scientific Achievements Using a Concept of Pareto Optimality
by: Shahryar Rahnamayan, et al.
Published: (2020-06-01) -
Advanced Cauchy Mutation for Differential Evolution in Numerical Optimization
by: Tae Jong Choi, et al.
Published: (2020-01-01)