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Simulation and Comparison Between Fuzzy Harmonic Search and differential evolution Algorithm: Type-2 Fuzzy Approach

IFAC-PapersOnLine 2022年第16期55卷 412-417页

作者： Himanshukumar R. Patel Vipul A. Shah Dharmsinh Desai University Nadiad-387001 Gujarat India

The harmony search (HS) and differential evolution (DE) algorithms are compared in this study. Additionally, an interval type-2 fuzzy logic system (IT2FLS) allowing dynamic change of the key parameters is offered for each algorithm. The use of fuzzy systems to dynamically alter the primary parameters for each algorithm seeks to improve the performance of the associated algorithms. The optimal design of fuzzy systems for benchmark control issues, particularly in fuzzy controller design, is used to evaluate and compare each algorithm (IT2FHS and IT2FDE). Simulation results demonstrate that the FHS method outperforms the FDE approach when it comes to fuzzy controller optimization. The better errors are found with the application of fuzzy systems to enhance each proposed algorithm, according to statistics.

关键词： Harmonic Search algorithm differential evolution algorithms Fuzzy controller Type-2 fuzzy systems Perturbation

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PATTERN SYNTHESIS OF CONCENTRIC RING ARRAY ANTENNAS BY differential evolution ALGORITHM

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2011年第2-3期25卷 421-430页

作者： Li, F. Jiao, Y. -C. Ren, L. -S. Chen, Y. -Y. Zhang, L. Xidian Univ Natl Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China

In this paper, we propose a computational global optimization method based on differential evolution (DE) algorithm for synthesizing large multiple concentric rings arrays to generate a pencil beam with minimum peak side lobe level (PSLL) and constrained first null beam width (FNBW). The synthesis is performed with a differential evolution technique to optimize the ring spacing, the number of the elements in each ring as well as the amplitude distribution. Simulated results of the designed synthesis illustrate the efficiency and reliability of our proposed method.

关键词： pencil beam pattern synthesis Antenna arrays Concentric evolutionary algorithm amplitude distribution differential evolution algorithms

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A COMPACT BAND-NOTCHED UWB ANTENNA OPTIMIZED BY A NOVEL SELF-ADAPTIVE differential evolution ALGORITHM

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JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS 2010年第17-18期24卷 2353-2361页

作者： Xie, L. Jiao, Y. -C. Wei, Y. -Q. Zhao, G. Xidian Univ Natl Lab Antennas & Microwave Technol Xian 710071 Shaanxi Peoples R China

In this paper, a compact ultra-wideband (UWB) antenna with a WLAN band-notched characteristic is presented. The design technique is based on a novel self-adaptive differential evolution (DE) algorithm namely ISADE (improved self-adaptive differential evolution algorithm). In order to evaluate the algorithm's performance, we tested it on nine most commonly used benchmark functions. Experimental results have shown that the proposed algorithm outperforms the classical DE and at least is comparable to some other adaptive DE algorithms. The optimized UWB antenna has a compact size of 14mm x 30mm and is fabricated and measured. Measured results have shown that the antenna has approximately omnidirectional radiation patterns with a good band-notched performance in the WLAN band. Therefore, the results indicate the advantages of this approach and the applicability of the proposed algorithm to other optimization problems in electromagnetics.

关键词： Radiation patterns wireless local area network (WLAN) Compact design techniques self-adaptive Ultra wideband antennas Electromagnetism differential evolution algorithms evolutionary algorithm Electromagnetic fields

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Research on the Multi-population differential evolution Algorithm and the Performance

Research on the Multi-population Differential Evolution Algo...

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International Conference on Mathematics, Modeling and Simulation Technologies and Applications

作者： Renquan Huang Jing Tian Juanjuan Wang Junmin Kang School of Economy and Finance Xi'an International Studies University

ISBN: (纸本)9781713800361

The original differential evolution algorithm(DE) is a single-population differential evolution algorithm(SPDE).DE converges very quickly,and takes the advantage of *** improved DE has a better performance,but there are premature problems in optimizing complex *** multi-population differential evolution algorithm(MPDE) is proposed to overcome premature problems in this *** optimal substitution strategy(OSS) and the elite immigration strategy(EIS) are studied to maintain the diversity of *** simulation concludes that MPDE converges faster than SPDE in optimizing the ultra-high dimensional problems,and the EIS is superior to the ***,the efficiency of DE is more effective than that of MPDE when the algorithms *** shows that multi-population strategy is a feasible and effective way to the premature problems of DE.

关键词： Multi-population differential evolution algorithm Optimization algorithm Optimal substitution strategy Elite immigration strategy Optimization algorithms differential evolution algorithms evolutionary algorithm MT ENVIRONMENTAL IMPACT STATEMENTS open source software Office of the Supervising Scientist

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differential evolution Algorithm for Multi-objective Economic Load Dispatch Considering Minimum Emission Costs

Differential Evolution Algorithm for Multi-objective Economi...

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IEEE Power and Energy Society General Meeting

作者： Fang Yao Ke Meng Zhao Xu Zhao Yang Dong Herbert Iu Jun Hua Zhao Kit Po Wong School of Electrical Electronics and Computer Engineering The University of Western Australia Department of Electrical Engineering The Hong Kong Polytechnic University School of Electrical Engineering Zhejiang University

ISBN: (纸本)9781457710001

This paper describes a multi-objective economic load dispatch (ELD) model to minimize the emission cost due to CO_2 and N_2O. The power system operation costs are minimized under transmission network constraints in ELD. This model will be transformed from single objective economic problem to multi-objective problem to combine both economic and emission dispatch. The model is implemented by differential evolution (DE) and a set of numerical experiments for a standard test system is reported.

关键词： Economic load dispatch Different evolution Emission control Optimization load dispatching Emissions controls differential evolution algorithms emission Emissions evolutionary algorithm Test systems

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A discrete differential evolution algorithm for lot-streaming flow shop scheduling problems

A discrete differential evolution algorithm for lot-streamin...

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IEEE Conference Anthology

作者： Kesheng Lu Lingzhi Wang Department of Mathematics and Computer Sciences Guangxi Normal University for Nationality Chongzui Guangxi PR China Department of Mathematics and Computer Sciences Liuzhou Teachers College Liuzhou Guangxi PR China

This paper deals with the total weighted tardiness and earliness penalties for lot-streaming flow shop scheduling problems. A discrete differential evolution (DDE) algorithm with job permutations based representation is proposed. In the proposed DDE algorithm, the DE-based evolution is used to perform global exploitation, and a local search procedure based on the insert and swap neighborhood structure is used to stress the exploration capability, and a restart scheme is employed to avoid the stagnation of the evolution. Extensive computational simulations and comparisons are provided, which demonstrate the effectiveness of the proposed DDE algorithm.

关键词： differential evolution lot-streaming flow shop metaheuristics total eariliness and tardiness Dichlorodiphenyl Dichloroethylene shopping mall differential evolution algorithms evolutionary algorithm inserts

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Pilot Symbol Assisted Weighted Data Fusion Scheme for Uplink Base-Station Cooperation System

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KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 2015年第2期9卷 528-544页

作者： Zhang, Zhe Yang, Jing Zhang, Jiankang Mu, Xiaomin Zhengzhou Univ Sch Informat Engn Zhengzhou 450052 Peoples R China Henan Univ Technol Coll Informat Sci & Engn Zhengzhou 450000 Peoples R China

Base Station Cooperation (BSC) has been a promising technique for combating the Inter-Cell Interference (ICI) by exchanging information through a high-speed optical fiber back-haul to increase the diversity gain. In this paper, we propose a novel pilot symbol assisted data fusion scheme for distributed Uplink BSC (UBSC) based on differential evolution (DE) algorithm. Furthermore, the proposed scheme exploits the pre-defined pilot symbols as the sample of transmitted symbols to constitute a sub-optimal Weight Calculation (WC) model. To circumvent the non-linear programming problem of the proposed sub-optimal model, DE algorithm is employed for searching the proper fusion weights. Compared with the existing equal weights based soft combining scheme, the proposed scheme can adaptively adjust the fusion weights according to the accuracy of cooperative information, which remains the relatively low computational complexity and back-haul traffic. Performance analysis and simulation results show that, the proposed scheme can significantly improve the system performance with the pilot settings of the existing standards.

关键词： Uplink base station cooperation inter-cell interference weighted data fusion pilot symbols differential evolution algorithms

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Simulation study for generalized logistic function in thermal data modeling

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JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY 2014年第2期118卷 1253-1268页

作者： Tarrio-Saavedra, Javier Lopez-Beceiro, Jorge Naya, Salvador Francisco-Fernandez, Mario Artiaga, Ramon Univ A Coruna Escola Politecn Super Ferrol Spain Univ A Coruna Fac Informat La Coruna Spain

The principal aim of the present study is to describe, analyze, and compare from a statistical standpoint the generalized logistic model with some well-known models used in the solid-state kinetics: power law, Avrami-Erofeev, and reaction order. For this purpose, synthetic conversion curves that simulate the kinetic processes were generated using the power law, Avrami-Erofeev, and reaction order models, where the Arrhenius equation was assumed in all the cases. This comprehensive simulation study allows to describe the relationship between the parameters belonging to the proposed generalized logistic model and the pointed traditional models' parameters, and also to validate the performance of the generalized logistic model in a wide variety of cases where other methods can be applied. Performing this analysis has been necessary to employ some new statistical techniques in thermal analysis modeling as the generalized additive models, and to perform global optimization evolutionary algorithms as the differential evolution for solving the non-linear regression problem. In order to implement these techniques, R statistical software routines were developed and applied.

关键词： Generalized logistic model Kinetics Thermal analysis differential evolution algorithms Generalized additive models

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An Adaptive differential evolution Algorithm Based on Fuzzy Modeling

An Adaptive Differential Evolution Algorithm Based on Fuzzy ...

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International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)

作者： Dan-Ting Duan Nan-Kun Mu Xiao-Feng Liao College of Electronic and Information Engineering Southwest University Chongqing China

ISBN: (纸本)9781728105529

The appropriate parameter setting can substantially determine the performance of differential evolution (DE), so parameter design is a very crucial and challenging task in DE. In response to the realistic demands, a novel adjust strategy for adaptive parameter is developed for DE in this paper. By way of the strategy of fuzzy modeling, the phases of optimization are designed as follows, i.e., exploration, exploitation and convergence. The adaptive adjust of F and CR, the control parameters, is determined by the phases of optimization. Meanwhile, an auxiliary movement technique is designed for the convergence population. This technique will help the best individual to avoid the risk of falling into the potential local optima. The proposed algorithm, namely FMDE/rand/1, has been assessed under eight unimodal and multimodal benchmark functions. Results from experiments illustrate that the proposed FMDE/rand/1 is a promising optimization algorithm which will greatly enhance the performance on effectiveness and dynamic.

关键词： Fuzzy modeling differential evolution Global optimization Parameter adaptive fuzzy modeling Global optimization evolutionary algorithm parameter setting parametric design Phase MT differential evolution algorithms Self tuning control parameter Optimization algorithms

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A Dynamic Archive Niching differential evolution Algorithm for Multimodal Optimization

A Dynamic Archive Niching Differential Evolution Algorithm f...

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IEEE Congress on evolutionary Computation

作者： Michael G. Epitropakis Xiaodong Li Edmund K. Burke Department of Computing Science and Mathematics School of Natural Sciences University of Stirling School of Computer Science and IT RMIT University

ISBN: (纸本)9781479904532

Highly multimodal landscapes with multiple local/global optima represent common characteristics in real-world applications. Many niching algorithms have been proposed in the literature which aim to search such landscapes in an attempt to locate as many global optima as possible. However, to locate and maintain a large number of global solutions, these algorithms are substantially influenced by their parameter values, such as a large population size. Here, we propose a new niching differential evolution algorithm that attempts to overcome the population size influence and produce good performance almost independently of its population size. To this end, we incorporate two mechanisms into the algorithm: a control parameter adaptation technique and an external dynamic archive along with a reinitialization mechanism. The first mechanism is designed to efficiently adapt the control parameters of the algorithm, whilst the second one is responsible for enabling the algorithm to investigate unexplored regions of the search space and simultaneously keep the best solutions found by the algorithm. The proposed approach is compared with two differential evolution variants on a recently proposed benchmark suite. Empirical results indicate that the proposed niching algorithm is competitive and very promising. It exhibits a robust and stable behavior, whilst the incorporation of the dynamic archive seems to tackle the population size influence effectively. Moreover, it alleviates the problem of having to fine-tune the population size parameter in a niching algorithm.

关键词： population size control parameter archives evolutionary algorithm differential evolution algorithms algorithms

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