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Back propagation neural network with adaptive differential evolution algorithm for time series forecasting

EXPERT SYSTEMS WITH APPLICATIONS 2015年第2期42卷 855-863页

作者： Wang, Lin Zeng, Yi Chen, Tao Huazhong Univ Sci & Technol Sch Management Wuhan 430074 Peoples R China Huazhong Univ Sci & Technol Coll Publ Adm Wuhan 430074 Peoples R China

The back propagation neural network (BPNN) can easily fall into the local minimum point in time series forecasting. A hybrid approach that combines the adaptive differential evolution (ADE) algorithm with BPNN, called ADE-BPNN, is designed to improve the forecasting accuracy of BPNN. ADE is first applied to search for the global initial connection weights and thresholds of BPNN. Then, BPNN is employed to thoroughly search for the optimal weights and thresholds. Two comparative real-life series data sets are used to verify the feasibility and effectiveness of the hybrid method. The proposed ADE-BPNN can effectively improve forecasting accuracy relative to basic BPNN, autoregressive integrated moving average model (ARIMA), and other hybrid models. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Time series forecasting Back propagation neural network differential evolution algorithm

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Optimal power flow using differential evolution algorithm

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ELECTRICAL ENGINEERING 2009年第2期91卷 69-78页

作者： Abou El Ela, A. A. Abido, M. A. Spea, S. R. Menoufia Univ Dept Elect Engn Fac Engn Shibin Al Kawm Egypt King Fahd Univ Petr & Minerals Dept Elect Engn Dhahran 31261 Saudi Arabia

This paper presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. The proposed approach employs differential evolution algorithm for optimal settings of OPF problem control variables. The proposed approach is examined and tested on the standard IEEE 30-bus test system with different objectives that reflect fuel cost minimization, voltage profile improvement, and voltage stability enhancement. The proposed approach results are compared with the results reported in the literature. The results show the effectiveness and robustness of the proposed approach.

关键词： Optimal power flow differential evolution algorithm Fuel cost minimization Voltage profile improvement Voltage stability enhancement

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A novel case adaptation method based on differential evolution algorithm for disaster emergency

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APPLIED SOFT COMPUTING 2020年 92卷 106306-106306页

作者： Yu, Xiaobing Li, Chenliang Zhao, Wen-Xuan Chen, Hong Nanjing Univ Informat Sci & Technol Sch Management Sci & Engn Nanjing 210044 Peoples R China Nanjing Univ Informat Sci & Technol Collaborat Innovat Ctr Forecast & Evaluat Meteoro Nanjing 210044 Peoples R China Chang Gung Univ Grad Inst Business Management Taoyuan 333 Taiwan

When disasters happen, time is often very urgent. Case-based reasoning (CBR) is one of the most effective approaches to support disaster emergency management. CBR takes good use of historical case data, which is one of the typical data-driven decision-making methods. Among the steps of CBR, adaptation is the core. To improve the adaptation, a hybrid mutation operator is implemented, and a new differential evolution (DE) algorithm is developed. An adaptation method based on the proposed algorithm is put forward to achieve case adaptation in the CBR system. The comparison results have shown that the proposed algorithm is superior compared with the state-of-art algorithms. Then, experiments of CBR have revealed that the adaptation method can effectively generate appropriate solutions with the help of the proposed algorithm. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Case-based reasoning differential evolution algorithm Disaster emergency Adaptation

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Optimization of weighted myriad filters with differential evolution algorithm

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AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS 2017年 77卷 1-9页

作者： Zorlu, Hasan Erciyes Univ Dept Elect Elect Engn TR-38039 Kayseri Turkey

Derivative-based algorithms, called classical algorithms, for optimization of weighted myriad (WMy) filters which are robust nonlinear filters in impulsive noisy environments are presented in literature. In this study, (WMy) filters that have various window lengths are optimized with differential evolution algorithm (DEA) that is known as a derivative-free based and evolutionary algorithm. The main contribution of this paper is to propose a novel strategy that is based on using the DEA in optimization of the parameters of nonlinear WMy filters. The results of proposed optimization studies are compared with a classical algorithm presented in literature. According to the simulation results;DEA has better performance than classical algorithm in optimization studies and also WMy filters optimized with DEA have ability of effectively suppressing the impulsive noisy environments. (C) 2017 Elsevier GmbH. All rights reserved.

关键词： Optimization Nonlinear filtering Weighted myriad filter differential evolution algorithm alpha-Stable noise

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Modeling of oxygen mass transfer in the presence of oxygen-vectors using neural networks developed by differential evolution algorithm

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2011年第7期24卷 1214-1226页

作者： Dragoi, Elena-Niculina Curteanu, Silvia Leon, Florin Galaction, Anca-Irina Cascaval, Dan Gheorghe Asachi Tech Univ Iasi Dept Chem Engn Iasi 700050 Romania Gheorghe Asachi Tech Univ Iasi Dept Comp Sci & Informat Technol Iasi 700050 Romania Grigore T Papa Univ Med & Pharm Iasi Dept Biotechnol Iasi 700454 Romania

The search capabilities of the differential evolution (DE) algorithm - a global optimization technique make it suitable for finding both the architecture and the best internal parameters of a neural network, usually determined by the training phase. In this paper, two variants of the DE algorithm (classical DE and self-adaptive mechanism) were used to obtain the best neural networks in two distinct cases: for prediction and classification problems. Oxygen mass transfer in stirred bioreactors is modeled with neural networks developed with the DE algorithm, based on the consideration that the oxygen constitutes one of the decisive factors of cultivated microorganism growth and can play an important role in the scale-up and economy of aerobic biosynthesis systems. The coefficient of mass transfer oxygen is related to the viscosity, superficial speed of air, specific power, and oxygen-vector volumetric fraction (being predicted as function of these parameters) using stacked neural networks. On the other hand, simple neural networks are designed with DE in order to classify the values of the mass transfer coefficient oxygen into different classes. Satisfactory results are obtained in both cases, proving that the neural network based modeling is an appropriate technique and the DE algorithm is able to lead to the near-optimal neural network topology. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Neural networks differential evolution algorithm Prediction Classification Bioreactors

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Design of Wideband Aperiodic Linear Arrays by Constrained differential evolution algorithm

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INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2011年第1期21卷 99-105页

作者： Zhang, Li Jiao, Yong-Chang Weng, Zi-Bin Zhang, Fu-Shun Xidian Univ Natl Key Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China

The element placement plays a crucial role in array performance. Especially, aperiodic placement technique is a very effective approach to remove grating lobes and minimize the sidelobe level (SLL) of an array. In this article, a wideband aperiodic array has been designed by a constrained differential evolution algorithm (DE). As a practical application, multiple optimization constraints, such as the given aperture length, the bandwidth, the number of elements and the minimum interelement spacing, are considered. Hence, minimizing SLL for the wideband aperiodic array can be formulated as a constrained optimization problem. Some synthesis examples are solved by the constrained DE. Numerical results demonstrate that the constrained DE is an effective approach for minimize SLL when all the constraint conditions are satisfied. (C) 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE 21:99-105, 2011.

关键词： aperiodic arrays wideband arrays constrained optimization differential evolution algorithm

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A fuzzy clustering iterative model using chaotic differential evolution algorithm for evaluating flood disaster

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EXPERT SYSTEMS WITH APPLICATIONS 2011年第8期38卷 10060-10065页

作者： He, Yaoyao Zhou, Jianzhong Kou, Pangao Lu, Ning Zou, Qiang Hefei Univ Technol Sch Management Hefei 230009 Peoples R China Minist Educ Key Lab Proc Optimizat & Intelligent Decis Making Hefei Peoples R China Huazhong Univ Sci & Technol Sch Hydropower & Informat Engn Wuhan 430074 Peoples R China Wuhan Univ Technol Sch Automat Wuhan Hubei Peoples R China

Flood disaster is a kind of frequent natural hazards. The objective of flood disaster evaluation is to establish hazard assessment model for managing flood and preventing disaster. Base on the chaotic optimization theory, this paper proposes a chaotic differential evolution algorithm to solve a fuzzy clustering iterative model for evaluating flood disaster. By using improved logistic chaotic map and penalty function, the objective function can be solved more perfectly. Two practical flood disaster cases have been taken into account so as to test the effect of novel hybrid method. Simulation results and comparisons show that the chaotic differential evolution algorithm is competitive and stable in performance with simple differential evolution and other optimization approaches presented in literatures. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Flood disaster evaluation evolutionary computation differential evolution algorithm Fuzzy clustering Chaotic map

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Pattern Synthesis of Time-Modulated Conformal Arrays by an Improved differential evolution algorithm

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INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING 2014年第6期24卷 697-705页

作者： Yang, Jing Li, Wentao Shi, Xiaowei Xidian Univ Dept Elect Engn Sci & Technol Antenna & Microwave Lab Xian 710071 Peoples R China

In this article, an improved differential evolution algorithm (IDE) based on two different colonies is proposed and applied to time-modulated conformal arrays syntheses. The whole population of IDE is divided into two parts. The one part searches the solution globally while the other searches the neighborhood of the solution provided by the previous one. Benchmark functions are provided to testify IDE. Furthermore, IDE is applied to synthetize sum-difference patterns with a 1 x 16 elements time-modulated circular array and low sidelobe level (SLL) patterns with an 8 x 12 elements time-modulated cone array. After optimization, the sideband level (SBL) of the circular array at the first sideband frequency is -1.00 dB. The SLL and SBL at the first sideband frequency of the cone array are lower than -30.00 and -20.00 dB, respectively. Experiment results verify the superior performance of IDE. Moreover, to accelerate the computation speed, graphics processing unit parallel computing technique is introduced into pattern synthesis and the acceleration ratios of more than 23 times can be achieved. (c) 2014 Wiley Periodicals, Inc. Int J RF and Microwave CAE 24:697-705, 2014.

关键词： array synthesis conformal arrays differential evolution algorithm GPU parallel computing time-modulated arrays

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Vibration-based damage detection of planar and space trusses using differential evolution algorithm

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APPLIED ACOUSTICS 2019年第May期148卷 308-321页

作者： Kim, Nam-Il Kim, Sumin Lee, Jaehong Sejong Univ Dept Architectural Engn Neungdong Ro 209 Seoul 05006 South Korea Chang Minwoo Struct Consultants 10Bongeunsa Ro 24 Gil Seoul 06125 South Korea

In this study, an efficient damage detection technique using the differential evolution (DE) algorithm and vibration data is proposed to properly detect the locations and extents of multiple damages of truss structures. The general equilibrium equations in which the reaction forces at notes are taken into account are considered. The compatibility equations in terms of forces are presented using the singular value decomposition (SVD) technique and then the extended equations of motion are developed based on the force method. As an optimization algorithm, the differential evolution (DE) algorithm is utilized and the objective function for damage detection is based on vibration data such as natural frequencies and mode shapes. Three numerical examples for planar and space truss structures are considered to verify the effectiveness and practical applicability of the present study. The numerical results show that the proposed method based on DE and vibration data can provide a reliable tool on determining the locations and extents of multiple damages of truss structures when it compares with those obtained from the genetic algorithm. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Damage identification Force method Free vibration analysis differential evolution algorithm

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Optimization of the p-xylene oxidation process by a multi-objective differential evolution algorithm with adaptive parameters co-derived with the population-based incremental learning algorithm

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ENGINEERING OPTIMIZATION 2018年第4期50卷 716-731页

作者： Guo, Zhan Yan, Xuefeng East China Univ Sci & Technol Key Lab Adv Control & Optimizat Chem Proc Minist Educ Shanghai Peoples R China

Different operating conditions of p-xylene oxidation have different influences on the product, purified terephthalic acid. It is necessary to obtain the optimal combination of reaction conditions to ensure the quality of the products, cut down on consumption and increase revenues. A multi-objective differential evolution (MODE) algorithm co-evolved with the population-based incremental learning (PBIL) algorithm, called PBMODE, is proposed. The PBMODE algorithm was designed as a co-evolutionary system. Each individual has its own parameter individual, which is co-evolved by PBIL. PBIL uses statistical analysis to build a model based on the corresponding symbiotic individuals of the superior original individuals during the main evolutionary process. The results of simulations and statistical analysis indicate that the overall performance of the PBMODE algorithm is better than that of the compared algorithms and it can be used to optimize the operating conditions of the p-xylene oxidation process effectively and efficiently.

关键词： p-Xylene oxidation process multi-objective optimization problems differential evolution algorithm population-based incremental learning algorithm self-adaptive

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