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Modified differential evolution algorithm with onlooker bee operator for mixed discrete-continuous optimization

SPRINGERPLUS 2016年第1期5卷 1914页

作者： Miao, Yongfei Su, Qinghua Hu, Zhongbo Xia, Xuewen Wuhan Univ Technol Sch Comp Sci & Technol Wuhan 430070 Peoples R China Yangtze Univ Sch Informat & Math Jingzhou 434023 Hubei Peoples R China East China Jiaotong Univ Sch Software Nanchang 330013 Jiangxi Peoples R China

For solving non-linear programming problems containing discrete and continuous variables, this article suggests two modified algorithms based on differential evolution (DE). The two proposed algorithms incorporate a novel random search strategy into DE/best/1 and DE/cur-to-best/1 respectively. Inspired by the artificial bee colony algorithm, the random search strategy overcomes the searching unbalance of DE/best/1 and DE/cur-to-best/1 by enhancing the global exploration capability of promising individuals. Two numerical experiments are given to test the two modified algorithms. Experiment 1 is conducted on the benchmark function set of CEC2005 in order to verify the effectiveness of the improved strategy. Experiment 2 is designed to optimize two mixed discrete-continuous problems to illustrate the competitiveness and the practicality of the proposed algorithms. In particular, the modified DE/cur-to-best/1 finds the new optima of two engineering optimization problems.

关键词： Artificial bee colony algorithm Design of coil spring problem differential evolution algorithm

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Multi-objective flexible job shop scheduling problem using differential evolution algorithm

Multi-objective flexible job shop scheduling problem using d...

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2017 9th International Conference on Modelling, Identification and Control (ICMIC 2017)

作者： Yang Cao Haibo Shi Zhonghua han College of Information Science and Engineering Northeastern University Department of Digital Factory Shenyang Institute of AutomationCAS University of Chinese Academy of Sciences Key Laboratory of Networked Control CAS Faculty of Information and Control Engineering Shenyang Jianzhu University

Flexible job shop scheduling problem(FJSP) is very complex to be controlled,and it is a problem which inherits job shop scheduling problem(JSP) *** has two sub-problems: routing sub-problem and scheduling *** this paper,improved differential evolution(DE) algorithm is presented for multi-objective *** of three objective functions includes maximum completion time,workload of the most loaded machine and total workload of all *** improved algorithm has a well-designed mutation and crossover operator,and uses a Pareto non-dominated sorting *** simulations and comparisons demonstrate the effectiveness of the proposed improved DE algorithm.

关键词： flexible job shop scheduling problem differential evolution algorithm multi-objective optimization

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Parameter establishment of differential evolution algorithm based on uniform design and the effect of different number of levels 12

Parameter establishment of differential evolution algorithm ...

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12th International Conference on Computational Intelligence and Security (CIS)

作者： Zhang Tian-Jun Zhao Gao-Chang Bai Yun Liu Jie Xian Univ Sci & Technol Sch Sci Xian Peoples R China

ISBN: (纸本)9781509048403

The parameter establishment of differential evolution algorithm (DE) is generally determined by the experience selection method, whose shortcomings include the massive operational parameters, the difficulty in obtaining the best parameter combination, and further obstacle to improve the optimization ability of the algorithm to a great extent. The article introduces the uniform design method of differential evolution algorithm in parameter establishment. The optimal parameters combination which can be applied to different types of standard test functions is discovered by means of the uniform design test for three different types of standard test function: the unimodal function, multimodal function, and morbid function. Finally the differential evolutionary algorithm for parameter establishment can be specified. The result is as follows. When the two groups of optimal parameter combination obtained by the uniform design experiment are applied to the differential evolution, the average global optimal solution is 3.3597 and the average standard deviation is 6.1243. It follows that the method of uniform experimental design is feasible and effective to set the parameters of the differential evolution algorithm and the method offers good stability.

关键词： differential evolution algorithm Uniform Design Parameter Establishment Test Function number of levels

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differential evolution algorithm with self-adaptive strategy and control parameters for P-xylene oxidation process optimization

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SOFT COMPUTING 2015年第5期19卷 1363-1391页

作者： Fan, Qinqin Yan, Xuefeng E China Univ Sci & Technol Minist Educ Key Lab Adv Control & Optimizat Chem Proc Shanghai 200237 Peoples R China

Considering that the model of the p-Xylene (PX) oxidation reaction process is a hybrid and highly nonlinear model, a differential evolution algorithm with self-adaptive mutation strategy and control parameters (SSCPDE) was proposed to optimize the operating conditions. In SSCPDE, each individual has its own control parameters and mutation strategies that can be self-adaptively adjusted to different evolution phases and various optimization problems. SSCPDE was compared with 6 state-of-the-art DE variants by 38 different types of benchmark functions. Simulation results show that the average performance of SSCPDE is better than the six famous self-adaptive DE algorithms. Finally, the SSCPDE algorithm was used to optimize the five main operating conditions of the PX oxidation reaction process. Optimization results indicate that the production cost, loss of acetic acid and PX combustion of the PX oxidation reaction process are greatly reduced and that SSCPDE performs better than JADE, EPSDE, SaDE, and the optimizer of Aspen Plus and similar to jDE and CoDE.

关键词： Process optimization p-Xylene oxidation process differential evolution algorithm Parameter adaptation Mutation strategy adaptation

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Automatic Generation Control in a Multi-Area Conventional and Renewable Energy Based Power System Using differential evolution algorithm 5

Automatic Generation Control in a Multi-Area Conventional an...

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5th International Conference on Informatics, Electronics and Vision (ICIEV)

作者： Zamee, Muhammad Ahsan Hossain, Mir Muntasir Ahmed, Ashik Islam, Kazi Khairul Bangladesh Univ Dept Elect & Elect Engn Dhaka Bangladesh Islamic Univ Technol Dept Elect & Elect Engn Gazipur Bangladesh

ISBN: (纸本)9781509012695

The function of Automatic Generation Control (AGC) is to regulate the output power of the corresponding generator in response to changes in system frequency or tie line loading or in both cases within a prescribed limit. In this paper differential evolution (DE) based Proportional-Integral (PI) controller is designed and simulated to observe its performance for a two area Hydro-Thermal power system. The purpose of the DE is to find out the optimal parameter values of the PI controller (K-p and K-i). The Optimal set of values is chosen based on eigenvalue of system matrix and objective function. The performance was evaluated based on the transient response (Settling time and peak overshoot) of the system while different step load changes were applied on both or either of the areas. The proposed controller has been found functioning properly for not only smaller (1%) but also larger (5%) load disturbances. All the simulations are done using MATLAB/SIMULINK software.

关键词： Automatic Generation Control Load Frequency Control Eigenvalue Objective Function differential evolution algorithm Proportional-Integral Controller Introduction

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Module Partition Method for Product Requirement Change Based on Improved differential evolution algorithm

Module Partition Method for Product Requirement Change Based...

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3rd IEEE/IFToMM/ASME International Conference on Reconfigurable Mechanisms and Robots (ReMAR)

作者： Wei, Wei Liang, He Liu, Ang Xu, Shaopeng Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China Univ Southern Calif Aerosp & Mech Engn Dept Los Angeles CA 90089 USA

ISBN: (纸本)9783319233277;9783319233260

The problem of requirements change in product configuring design is discussed, and the concept of generalized requirements change is put forward. The influence factors of module partition are mapped by analyzing the generalized requirements change. The method of "two times aggregation" is proposed to partition the product, and the product is divided into sub-function mechanisms according to the connection relationships between components. Correlation matrix is established based on the generalized requirements change, and the change degree of the components is proposed, representing the frequencies of the change. Multi-objective optimization model is established to solve the problem of module partition. Multi-objective differential evolution algorithm is used to solve the model, and it is improved by introducing the life span of candidate solutions and the strategy of multi-population. In the end, application example of KUKA robot products' module partition is given. Compared to other optimization algorithms, this method showed some superiority.

关键词： Modular design KUKA robot Requirements change Two times aggregation differential evolution algorithm

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Synthesis of Non-uniformly Spaced Planar Array Geometry using differential evolution algorithm 7

Synthesis of Non-uniformly Spaced Planar Array Geometry usin...

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7th IEEE Indian Antenna Week (IAW)

作者： Mukherjee, Ananya Mandal, Sujit Kumar Ghatak, Rowdra NIT Durgapur Dept Elect & Commun Engn Microwave & Antenna Res Lab Durgapur W Bengal India

ISBN: (纸本)9781509060917

In this paper, non-uniformly spaced planar antenna arrays (NUSPAA) of different geometry with uniform excitation is considered for minimization of maximum side lobe level (SLL). Configuring different planar array geometries only by switching off some elements from the basic rectangular array, the inter-element positions of the remaining elements are optimized using differential evolution (DE) algorithm. The proposed method can effectively reduce the number of antenna elements with reduction in SLL using the simple feed network of uniformly excited antenna array (UEAA). The MATLABTM simulated result of optimized SLL considering different geometries of a 17 x 17 array is presented and compared to show the effectiveness of the proposed approach.

关键词： nonuniformly spaced planar antenna array side lobe level beamwidth differential evolution algorithm

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differential evolution algorithm for simple assembly line balancing type 1 (SALBP-1)

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JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING 2015年第2期32卷 104-114页

作者： Pitakaso, Rapeepan Ubon Ratchathani Univ Dept Ind Engn 185 Sathonlamark Rd Ubon Ratchathani 34190 Thailand

This article proposes a differential evolution algorithm (DE) for solving type 1 simple assembly line balancing problem (SALBP-1). The proposed heuristic composes of four main steps: (1) initialization, (2) mutation, (3) recombination, and (4) selection process. A new decoding scheme is proposed along with new recombination formulas besides those found in literatures. The computational results based on many tests using set of standard instances show that the proposed DE algorithm is very competitive for solving SALPB-1.

关键词： simple assembly line balancing differential evolution algorithm binomial recombination exponential recombination

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differential evolution algorithm for Solving Coil Scheduling Problem in Parallel Continuous Annealing Lines

Differential Evolution Algorithm for Solving Coil Scheduling...

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第28届中国控制与决策会议

作者： Shengnan Zhao Yang Yang The Institute of Industrial Engineering and Logistics Optimization Northeastern University

ISBN: (纸本)9781467397155

This paper studies the coil scheduling problem in parallel continuous annealing lines,which is derived from practical steel *** problem is to assign the candidate coils to the parallel continuous annealing lines,and make the schedule of the coils in each production line,aiming at reducing the total changeover cost,and improving the production capacity *** solve the problem,a new differential evolution(Sa-PDDE) algorithm is proposed with consideration of the practical production ***,the efficiency of the proposed algorithm is verified by computational experiments.

关键词： Scheduling differential evolution algorithm Continuous annealing

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Composite Simpson Method Based On differential evolution algorithm For Numerical Integral 12

Composite Simpson Method Based On Differential Evolution Alg...

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12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

作者： Li, Qian Su, Qinghua Mou, Yongqiang Wu, Beiping Guan, Junxia Wu, Haiming Yangtze Univ Sch Informat & Math Jingzhou Peoples R China Yangtze Univ Sch Mech Engn Jingzhou Peoples R China Dalian Air Force Sergeant Sch Commun Dept Radio Nav Dalian Peoples R China

ISBN: (纸本)9781509040933

For solving numerical integral problems, a composite Simpson method based on differential evolution algorithm (SDE) is proposed. The proposed method can be viewed as a piecewise integration method. It firstly uses the differential evolution algorithm (DE) to find the optimal segmentation points on the integral interval of an integrand. The approximate integral value of the integrand is then calculated by a composite Simpson method. The comparative analyses of numerical experiment results show the advantages of S-DE on a class of integral problems.

关键词： differential evolution algorithm piecewise integration method Simpson method

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