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5th International Conference on Mathematics and Artificial Intelligence (ICMAI)

作者： Lin, Jie Zheng, Shaoyong Long, Yunliang Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou 510000 Peoples R China

ISBN: (纸本)9781450377072

Most of the existing evolutionary algorithms to deal with many-objective problems are based on the enhancing of selection strategy. Among them, the reference vector-guided evolutionary algorithm (RVEA) achieves excellent performance. In this paper, a new search engine is combined with RVEA to achieve further performance enhancement of the differential evolutionary (DE) algorithm. In the optimization process of differential evolution algorithm on many-objective problems, improving convergence and maintaining diversity are two different optimization directions, and it is usually difficult to maintain a balance between them. To solve this problem, a new search engine based on DE is proposed. The proposed search engine is implemented based on a cooperative scheme of local and global search strategies. In the local search, the population is divided into several subpopulations, each of which evolves independently using the proposed mutation strategy. The distance between the individuals in each sub-population is relatively close. Therefore, it has a strong exploitation capability, and will not make the population lose diversity. Meanwhile, the selection strategy of RVEA enables the population to maintain diversity, and the DE/rand/1 utilized in global search is sufficient to keep a strong exploration capability. Therefore, the proposed approach can achieve a good balance between exploration and exploitation. The experimental results show that the proposed algorithm performs well in manyobjective optimizations up to more than 10 objectives.

关键词： differential evolution algorithm local search global search reference vector-guided evolutionary algorithm

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PID parameter tuning of multi-capacity system based on differential evolution algorithm

International Core Journal of Engineering

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International Core Journal of Engineering 2021年第11期7卷 225-234页

作者： Maohua Yang Fei Tan Songlin Yin

Aiming at the characteristics of large, time-varying, and nonlinear PID control of the multi-capacity system, the differential evolution algorithm of modern intelligent algorithm is used to simulate the high-order system by selecting the first-order time-delay system, and then use the correlation of the first-order time-delay system The parameters k, t, τ are brought into the tuning rules to calculate the PID of the higher-order system. Finally, the third-order system and the first-order time-delay system are simulated by matlab. The final result shows that there is not much difference between the two. It also greatly improves the response rate and speed, and can also be used in other high-end systems.

关键词： Multi-capacity system large lag time-varying nonlinear differential evolution algorithm first-order time-delay system

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A differential evolution algorithm with Adaptive Strategies for Constrained Optimization Problem 16

A Differential Evolution Algorithm with Adaptive Strategies ...

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16th International Conference on Computational Intelligence and Security (CIS)

作者： Wanma, Cuo Li, Hecheng Song, Erping Qinghai Normal Univ Sch Math & Stat Xining 810016 Peoples R China Qinghai Normal Univ Sch Comp Sci & Technol Xining 810016 Peoples R China

ISBN: (纸本)9781665404457

Constrained optimization problems are widely used in real-world applications as optimization models. Due to the complexity of the objective itself as well as too tight constraints, it is difficult to obtain the global optimal solution to these problems. In this manuscript, an improved differential evolutionary algorithm is proposed from the perspective of operator design and constraint handling. Firstly, in order to enhance the exploration ability of the algorithm, a heuristic mutation operator with better point information is constructed Secondly, an improved dynamic epsilon constraint handling method is developed, in which the value of the epsilon decreases as the iteration number increases. The method can increase effectively the feasible individual in populations. Finally, the simulation results on 10 benchmark functions show that the proposed algorithm is effective and robust when compared with similar algorithms.

关键词： Constrained optimization problem differential evolution algorithm Constraint handling technique Optimal solutions

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Overview of differential evolution algorithm

International Core Journal of Engineering

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International Core Journal of Engineering 2021年第11期7卷 319-325页

作者： Siyu Li Fei Tan Yang Xian

Explained the basic ideas and characteristics of the difference algorithm, according to the research status of the difference algorithm in the past five years, introduce the field of difference application and compare it with the evolutionary algorithm, and analyze the advantages and disadvantages of the difference algorithm. Many scholars have improved the differential algorithm and derived evolutionary algorithms with different characteristics. This article reviews the basic principles, characteristics, improvements and applications of the difference algorithm, and gives possible future research directions.

关键词： differential evolution algorithm Function optimization Global optimization

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COVID-19 transmission risk minimization at public transportation stops using differential evolution algorithm

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EUROPEAN JOURNAL OF TRANSPORT AND INFRASTRUCTURE RESEARCH 2021年第1期21卷 53-69页

作者： Mutlu, Mehmet Metin Aksoy, Ilyas Cihan Alver, Yalcin Adnan Menderes Univ Civil Engn Dept Aydin Turkey Karamanoglu Mehmetbey Univ Civil Engn Dept Karaman Turkey Ege Univ Civil Engn Dept Izmir Turkey Adnan Menderes Univ TR-09010 Aydin Turkey Karamanoglu Mehmetbey Univ TR-70200 Karaman Turkey Ege Univ TR-35040 Izmir Turkey

Public transportation vehicles, with their confined spaces and limited ventilation, are considered among the primary factors in the spread of COVID-19. As a measure to slow the spread of the virus during the pandemic, governments have applied passenger capacity restrictions to ensure physical distancing. On the other hand, the increase in the risk of disease transmission associated with passengers waiting together at stops is omitted. In this study, we consider the risk of disease transmission as a travel cost and formulate a risk minimization problem as a transit network frequency setting problem. We develop a bi-level optimization model minimizing the total infection risk occurring at stops, namely, the cumulative disease transmission risk cost. The differential evolution algorithm is employed to cope with the NP-hard bi-level transportation network design problem. We propose a novel objective function for the upper-level model, considering the infection risk cost based on passenger traffic at public transportation stops. A congested user-equilibrium transit assignment model is utilized to determine passenger movement. The proposed model is applied to a small-size hypothetical network, and a mid-size test network. Experimental studies provide evidence that the model can produce optimal solutions. Optimization results show significant improvements in the reduction of disease transmission risk compared to the optimizations depending on the traditional practice of transportation network planning based on user and operator costs. The proposed model provides risk cost reductions of 51% and 22% compared to the optimal solutions based on user cost minimization in the hypothetical network and Mandl's network, respectively.

关键词： coronavirus COVID-19 differential evolution algorithm public health public transportation infection risk transit frequency design problem.

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The Improved Intelligent Optimal algorithm Based on the Artificial Bee Colony algorithm and the differential evolution algorithm

The Improved Intelligent Optimal Algorithm Based on the Arti...

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2019 Chinese Intelligent Systems Conference

作者： Li, Jingyi Cheng, Ju Mo, Lipo Beihang Univ Sch Math & Syst Sci Beijing 100083 Peoples R China Beijing Technol & Business Univ Sch Math & Stat Beijing 100048 Peoples R China

ISBN: (纸本)9789813296848;9789813296824;9789813296817

This paper proposes an improved ABC algorithm to avoid the phenomenon of premature convergence of the basic artificial bee colony (ABC) algorithm. By combining the mutation operators of differential evolution (DE) algorithm, the new search equations of employed bees and onlookers are designed. Besides, a selective probability is leaded into the former one and a development coefficient is added in the latter one. In order to demonstrate the availability of the proposed ABC algorithm, simulations are conducted on a set of benchmark functions. The simulation results show that the improved ABC algorithm performs better than the basic ABC algorithm, DE algorithm and particle swarm optimization (PSO) algorithm.

关键词： Artificial bee colony algorithm Local convergence differential evolution algorithm

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Nonlinear Hammerstein model of ultrasonic motor for position control using differential evolution algorithm

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ULTRASONICS 2019年 94卷 20-27页

作者： Lu, Song Shi Jingzhuo Henan Univ Sci & Technol Luoyang 471023 Peoples R China

The model of ultrasonic motor (USM) is the foundation of the analysis and control of the motor. Ultrasonic motor maintains nonlinear and complicated in dynamics due to its special structure and unique operating, which makes it difficult to establish a good model with traditional modeling. Moreover, the model should be established in line with strong nonlinearities. The nonlinear Hammerstein model of USM is established in this paper, which can better characterize the nonlinear motor. To adapt the model to the need of position control of ultrasonic motor, driving frequency and rotor position are considered as the input and output variables of the Hammerstein model respectively. To improve the accuracy of model and the efficiency of modeling process, model identification combined with differential evolution algorithm is designed. The comparison of model calculation results with the experimental data shows the accuracy of the established model and the validity of the proposed modeling.

关键词： Ultrasonic motor Hammerstein model Identification differential evolution algorithm

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Temporal-spatial analysis of water environmental capacity based on the couple of SWAT model and differential evolution algorithm

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JOURNAL OF HYDROLOGY 2019年 569卷 155-166页

作者： Wang, Qingrui Liu, Ruimin Men, Cong Guo, Lijia Miao, Yuexi Beijing Normal Univ State Key Lab Water Environm Simulat Sch Environm 19 Xinjiekouwai St Beijing 100875 Peoples R China

The objective of this study was to advance a new method to dynamically analyze the water environmental capacity (WEC) of non-point source (NPS) pollution. A Soil and Water Assessment Tool (SWAT) model and differential evolution (DE) algorithm were coupled to automatically provide a calculation of the WEC in a daily step. The results showed that the largest ideal WECs occurred in the wet season with values up to 4500 t and 80 t for total nitrogen (TN) and total phosphorus (TP), respectively. The ideal WEC had a positive correlation with the rainfall intensity, while the opposite was true for actual WEC. The smallest value of actual WEC for TN was -150 tin June, and a negative value also occurred in June for TP. This is because NPS pollution discharge was more sensitive to rainfall and flow change than the ideal WEC. Compared to phosphorus, the WEC of nitrogen was more affected by the hydrological and NPS pollution discharge conditions. In addition, the WEC of nitrogen and phosphorus in organic species was more affected by seasonal change than that of nitrogen and phosphorus in inorganic species. Spatially, the channels in the middle and southeast of the study area had the smallest actual WEC and even negative values were observed. The results of remnant WEC showed that the smallest value occurred in July and June with values of - 800 t and -140 t for TN and TP, respectively. Thus, significant attention should be paid to controlling NPS pollution during the wet season, and organic nitrogen and phosphorus should be set as the priority pollutants to control. Furthermore, controlling the NPS pollution discharge and enhancing the WEC should be carried out simultaneously. Compared to previously used methods, the calculation method employed in this study had the ability to simulate the transformation and interaction between nitrogen and phosphorus in organic and inorganic species, and better considered dynamic changes in the input conditions.

关键词： Water environmental capacity Non-point source pollution Temporal-spatial analysis SWAT model differential evolution algorithm

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An Improved differential evolution algorithm for Optimal Location of Battery Swapping Stations Considering Multi-Type Electric Vehicle Scale evolution

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IEEE ACCESS 2019年 7卷 73020-73035页

作者： Wang, Shouxiang Yu, Lu Wu, Lei Dong, Yichao Wang, Hongkun Tianjin Univ Key Lab Minist Educ Tianjin 300072 Peoples R China Stevens Inst Technol Hoboken NJ 07030 USA

Scientific scale forecasting of multi-type electric vehicles (EVs) is critical to accurately analyze the planning and operation of battery-swapping stations (BSSs) and charging stations (CSs). This paper predicts the proportions of plug-in electric vehicles (PEVs), hybrid electric vehicles (HEVs), and battery-swapping electric vehicles (BSEVs) in the total EV fleet in multi-scenarios via a system dynamics (SD) method. Relying on the predicted evolution scale of the BSEVs and the service demand of BSSs calculated by the service radius (SR) method, an improved differential evolutional algorithm combing with Monte Carlo searching (IDEA-MCS) method is proposed to obtain the optimal location of BSSs in a certain region in Beijing, which achieves an economic optimum of BSSs under the battery-swapping mode (BSM) via centralized charging and unified distribution (CCAUD). The analytical results show that the proportion of the BSEVs in different scenarios is the major driver that impacts the location of BSSs. The distribution of BSSs' BS demand in the optimistic scenario is more inhomogeneous than that in the other scenarios. In addition, a cross-comparison of optimal profits in different scenarios is conducted to verify the optimality of BSS locations for a given scenario. Finally, the proposed IDEA-MCS method is compared with the DEA method and IDEA method to verify its optimality.

关键词： Battery-swapping station (BSS) differential evolution algorithm optimal location system dynamics (SD) method

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differential evolution algorithm Aided Turbo Channel Estimation and Multi-User Detection for *** Systems in the Presence of FEXT

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IEEE ACCESS 2018年 6卷 33111-33128页

作者： Zhang, Jiankang Chen, Sheng Zhang, Rong Al Rawi, Anas F. Hanzo, Lajos Univ Southampton Sch Elect & Comp Sci Southampton SO17 1BJ Hants England King Abdulaziz Univ Jeddah 21589 Saudi Arabia British Telecommun PLC Ipswich IP5 3RE Suffolk England

The ever-increasing demand for broadband Internet access has motivated the further development of the digital subscriber line to the *** standard in order to expand its operational band from 106 to 212 MHz. Conventional far-end crosstalk (FEXT)-based cancellers falter in the upstream transmission of this emerging *** system. In this paper, we propose a novel differential evolution algorithm (DEA)-aided turbo channel estimation (CE) and a multi-user detection (MUD) scheme for the *** upstream, including the frequency band up to 212 MHz, which is capable of approaching the optimal Cramer-Rao lower bound of the channel estimate, whilst approaching the optimal maximum likelihood MUD's performance associated with perfect channel state information and, yet, only imposing about 5% of its computational complexity. Explicitly, the turbo concept is exploited by iteratively exchanging information between the continuous value-based DEA-assisted channel estimator and the discrete value-based DEA MUD. Our extensive simulations show that 18-dB normalized mean square error gain is attained by the channel estimator and 10-dB signal-to-noise ratio gain can be achieved by the MUD upon exploiting this iteration gain. We also quantify the influence of the CE error, the copper length, and the impulse noise. This paper demonstrates that the proposed DEA-aided turbo CE and MUD scheme is capable of offering near-capacity performance at an affordable complexity for the emerging *** systems.

关键词： Digital subscriber line far-end crosstalk G.fast upstream vectoring turbo channel estimation and multi-user detection differential evolution algorithm

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