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An Efficient Solving the Travelling Salesman Problem : Global Optimization of Neural Networks by Using Hybrid Method [chapter]

Yong-hyun Cho
2010 Traveling Salesman Problem, Theory and Applications  
For example, an www.intechopen.com An Efficient Solving the Travelling Salesman Problem: Global Optimization of Neural Networks by Using Hybrid Method 161 MA might use simulated annealing to find a solution  ...  The proposed method satisfies the stopping rule to www.intechopen.com An Efficient Solving the Travelling Salesman Problem: Global Optimization of Neural Networks by Using Hybrid Method 173 Table 2 .  ...  An Efficient Solving the Travelling Salesman Problem : Global Optimization of Neural Networks by Using Hybrid Method, Traveling Salesman Problem, Theory and Applications, Prof.  ... 
doi:10.5772/12855 fatcat:tqwxnpwqcvatrbta3p6yjsafmy

Optimization Theory, Methods, and Applications in Engineering

Jung-Fa Tsai, John Gunnar Carlsson, Dongdong Ge, Yi-Chung Hu, Jianming Shi
2012 Mathematical Problems in Engineering  
optimization, stochastic optimization, particle swarm optimization, neural network, simulated annealing, genetic algorithm, and hybrid methods.  ...  Some of the papers are dedicated to the development of advanced optimization methods for direct or indirect use in engineering problems such as network, scheduling, production planning, industrial engineering  ...  Hybrid Methods The paper "Solving constrained global optimization problems by using hybrid evolutionary computing and artificial life approaches" by J.-Y.  ... 
doi:10.1155/2012/759548 fatcat:3wkb26nllfgp7hf347b3eoox4y

Hybrid Fuzzy Jordan Network for Robust and Efficient Intrusion Detection System

A. Dhivya, S. N. Sivanandan
2015 Indian Journal of Science and Technology  
Methods: In this research, the intrusion detection of NSL KDD dataset is carry out by neural network first .  ...  Then the learning ability of hybrid network is improved by using fuzzy logic.  ...  The convergence iterations are reduced significantly by An Improved Hybrid Fuzzy Jordan Network and Artificial Neural Network for Robust and Efficient Intrusion Detection System using the proposed  ... 
doi:10.17485/ijst/2015/v8i34/76697 fatcat:losn4ailxvgaphetrb74fcjqkq

CLASSIFICATION OF NEURAL NETWORK FOR TECHNICAL CONDITION OF TURBOFAN ENGINES BASED ON HYBRID ALGORITHM

Valentin Potapov
2016 Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu  
Purpose: This work presents a method of diagnosing the technical condition of turbofan engines using hybrid neural network algorithm based on software developed for the analysis of data obtained in the  ...  Results: of the optimization of neural network structure to solve the problems of evaluating technical state of the bypass turbofan engine, when used with genetic algorithms.  ...  Scheme of hybrid algorithm using GA and neural network Viewed hybrid neural network genetic algorithm (GA + neural network), in which the radially basic neural network approximator performs the function  ... 
doi:10.18372/2306-1472.69.11057 fatcat:5pnmqaktgbhozix7ywahwuknju

A Review of Heuristic Global Optimization Based Artificial Neural Network Training Approahes

D. Geraldine Bessie Amali, Dinakaran M.
2017 IAES International Journal of Artificial Intelligence (IJ-AI)  
This paper reviews the various heuristic global optimization algorithms used for training feedforward neural networks and recurrent neural networks.  ...  Thus application of heuristic global optimization algorithms that computes a good global minimum to neural network training is of interest.  ...  In [16] a hybrid Bayesian learning method which combines Markov chain Monte Carlo methods with fuzzy membership functions and GA is used by Kocadagli for training Bayesian neural networks.  ... 
doi:10.11591/ijai.v6.i1.pp26-32 fatcat:mkalw6ikzbh45fteocs56nuz4i

A Novel Hybrid Intelligent Method for Fault Diagnosis of the Complex System

Jian Chu, Yadong Niu
2016 International Journal of Hybrid Information Technology  
The particle swarm optimization (PSO) algorithm with the global optimization ability is directly used to train the weights of BP neural network in order to establish the optimized BP neural network model  ...  Then the minimum fault characteristic set is used to train the optimized BP neural network model in order to obtain the optimal BP neural network model for realizing the fault diagnosis.  ...  algorithm is used to train learning algorithm of neural network and the particle swarm optimization algorithm with the global optimization ability is used to optimize the weights of BP neural network  ... 
doi:10.14257/ijhit.2016.9.3.31 fatcat:qvrfgf26ljfpvpj2dr736kjy6m

An Artificial Neural Network Genetic Algorithm with Shuffled Frog Leap Algorithm for Software Defect Prediction

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
An approach of hybrid optimization for designing of the linkages method and is used for the dimensional synthesis of the mechanism.  ...  The artificial neural network optimizations make the assumption that more than two algorithms for one optimization have been implemented.  ...  LITERATURE SURVEY A hybrid optimization reduces the compilation effort that uses an effective algorithm mostly but also uses a very costly and efficient algorithm for optimization which seldom when it  ... 
doi:10.35940/ijitee.b6706.129219 fatcat:z6zsuninz5hy7axh46iqwm5e6y

An Artificial Neural Network Genetic Algorithm with Shuffled Frog Leap Algorithm for Software Defect Prediction

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
An approach of hybrid optimization for designing of the linkages method and is used for the dimensional synthesis of the mechanism.  ...  The artificial neural network optimizations make the assumption that more than two algorithms for one optimization have been implemented.  ...  Patra for given inception about particularly Genetic Algorithm combined with Neural Networks Optimization, which meets the Global minima accomplishing best fit function to get good results than previous  ... 
doi:10.35940/ijitee.l1187.10812s19 fatcat:v62ithrahng3rdl445ylsnq2p4

A Hybrid System Composed of Neural Networks and Genetic Algorithms

Dumitrescu Mihaela
2012 International Journal of Asian Business and Information Management  
Genetic algorithms can be used to find an optimal architecture for a neural network to design an optimal training algorithm control parameters and optimization. systems) offers encouraging results in solving  ...  For this reason we need fast and efficient ways to conduct economic forecasts. An analysis technique is based on data for previous periods and can be achieved using neural networks.  ... 
doi:10.4018/jabim.2012100105 fatcat:5obtxkfkbzc3dmxil3iytcuf6y

A Review of Short Term Load Forecasting using Artificial Neural Network Models

Arjun Baliyan, Kumar Gaurav, Sudhansu Kumar Mishra
2015 Procedia Computer Science  
In particular, the hybrid networks which is a combination of neural network with stochastic learning techniques such as genetic algorithm(GA), particle swarm optimization (PSO) etc. which has been successfully  ...  This paper addresses a review on recently published research work on different variants of artificial neural network in the field of short term load forecasting.  ...  While the GA is hybridized with ANN, it is used to globally optimize the number of input neurons and the number of neurons in the hidden layer of the neural network architecture.  ... 
doi:10.1016/j.procs.2015.04.160 fatcat:rqlhonr5ufg7hcopsjr5rw3e5u

Hybrid Particle Swarm Optimization for Multi-Sensor Data Fusion

Hyunseok Kim, Dongjun Suh
2018 Sensors  
This paper presents a hybrid PSO to facilitate the construction of robust data fusion model based on neural network while ensuring the balance between exploration and exploitation.  ...  The well-optimized data fusion model is expected to provide an enhancement in the synergistic accuracy.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s18092792 pmid:30149565 fatcat:ozpi5eq6crgdvl5kdzusr2ofum

Sizing, optimization, control and energy management of hybrid renewable energy system- a review

Chouaib Ammari, Djamel Belatrache, Batoul Touhami, Salim Makhloufi
2021 Energy and Built Environment  
This review focuses on four essential categories of hybrid renewable energy system which is sizing (using software or using traditional methods), optimization (classical, artificial and hybrid methods)  ...  Highlights  A review of the latest studies published in a hybrid renewable energy system  This review focuses on sizing, optimization, control, and energy management  The latest published methods are  ...  algorithm-artificial neural network (CMBSNN) and whale optimization-artificial neural network (WOANN).  ... 
doi:10.1016/j.enbenv.2021.04.002 fatcat:b3fwcnbfivgrljnaz6kglt6qse

Neural Network Energy Management Strategy for Series Hybrid Electric Car

Qi Song, Lingfeng Hu, Chenghong Li, Guanzheng Wen
2017 Electronics Science Technology and Application  
<p>A design concept of energy management and control strategy for hybrid electric car based on neural network and global optimization is proposed.  ...  The control strategy can effectively combine the advantages of global optimization algorithm and neural network algorithm. The minimum fuel consumption of the engine model can be derived.  ...  In this study, an energy management and control strategy based on neural network and global optimization is proposed for a series hybrid car.  ... 
doi:10.18686/esta.v4i1.37 fatcat:vr3lvnjm2zc5xed3qroykgaq3e

Research on Power Load Forecasting Model Based on Hybrid Algorithm Optimizing BP Neural Network

Chenhao Niu, Xiaomin Xu, Yan Lu, Mian Xing
2014 Open Electrical & Electronic Engineering Journal  
However, the neural network is easy to fall in local optimum, unable to find the global optimal solution.  ...  (ACO-PSO) to improve the generalization of the neural network.  ...  ACKNOWLEDGEMENTS This work was supported by Natural Science Foundation of China (Project no.71471059) and the "Industry-Academics-Research" Scientific Project of "Industry-Academics-Research" Co-culture  ... 
doi:10.2174/1874129001408010723 fatcat:khbjp2vlejgf5chmhuulns7fpq

SMO-DNN: Spider Monkey Optimization and Deep Neural Network Hybrid Classifier Model for Intrusion Detection

Neelu Khare, Preethi Devan, Chiranji Lal Chowdhary, Sweta Bhattacharya, Geeta Singh, Saurabh Singh, Byungun Yoon
2020 Electronics  
A spider monkey optimization (SMO) algorithm was used for dimensionality reduction and the reduced dataset was fed into a deep neural network (DNN).  ...  The issues pertaining to quality and quality of data and the handling of high dimensional data is managed by the use of nature inspired algorithms.  ...  Acknowledgments: This work was partially supported by the National Research Foundation of Korea(NRF-2019R1A2C1085388). Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9040692 fatcat:65lai7vzwrfc7dqlqibdgavu7q
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