RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks

[1]  M. Khishe,et al.  Classification of Sonar Targets Using an MLP Neural Network Trained by Dragonfly Algorithm , 2019, Wirel. Pers. Commun..

[2]  Dinesh Gopalani,et al.  Salp Swarm Algorithm (SSA) for Training Feed-Forward Neural Networks , 2018, SocProS.

[3]  S. J. Mousavirad,et al.  A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training , 2018, Neural Computing and Applications.

[4]  Seyed Jalaleddin Mousavirad,et al.  Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms , 2017, Evol. Intell..

[5]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[6]  Seyedali Mirjalili,et al.  Dragonfly algorithm: a new meta-heuristic optimization technique for solving single-objective, discrete, and multi-objective problems , 2015, Neural Computing and Applications.

[7]  S. Mirjalili.  How effective is the Grey Wolf optimizer in training multi-layer perceptrons , 2015, Applied Intelligence.

[8]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[9]  Adam Slowik,et al.  Application of an Adaptive Differential Evolution Algorithm With Multiple Trial Vectors to Artificial Neural Network Training , 2011, IEEE Transactions on Industrial Electronics.

[10]  Dervis Karaboga,et al.  A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm , 2007, J. Glob. Optim..

[11]  Safieddin Safavi-Naeini,et al.  A hybrid evolutionary programming method for circuit optimization , 2005, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  Kalyanmoy Deb,et al.  A population-based algorithm-generator for real-parameter optimization , 2005, Soft Comput..

[13]  Joni-Kristian Kämäräinen,et al.  Differential Evolution Training Algorithm for Feed-Forward Neural Networks , 2003, Neural Processing Letters.

[14]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[15]  P. S. Sastry,et al.  Analysis of the back-propagation algorithm with momentum , 1994, IEEE Trans. Neural Networks.

[16]  Roberto Battiti,et al.  First- and Second-Order Methods for Learning: Between Steepest Descent and Newton's Method , 1992, Neural Computation.

[17]  Gerald Schaefer,et al.  The Human Mental Search Algorithm for Solving Optimisation Problems , 2020 .

[18]  Hossam Faris,et al.  Optimizing connection weights in neural networks using the whale optimization algorithm , 2016, Soft Computing.

[19]  Wenyin Gong,et al.  A clustering-based differential evolution for global optimization , 2011, Appl. Soft Comput..

[20]  Amit Konar,et al.  Automatic image pixel clustering with an improved differential evolution , 2009, Appl. Soft Comput..