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Multi-objective structural optimization for the automatic member grouping of truss structures using evolutionary algorithms

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COMPUTERS & STRUCTURES 2024年 292卷

作者： Carvalho, Jose Pedro G. Vargas, Denis E. C. Jacob, Breno P. Lima, Beatriz S. L. P. Hallak, Patricia H. Lemonge, Afonso C. C. Univ Fed Rio de Janeiro Civil Engn Program COPPE Rio De Janeiro Brazil Fed Ctr Technol Educ Minas Gerais Dept Math Belo Horizonte Brazil Univ Fed Juiz de Fora Sch Engn Dept Appl & Computat Mech Juiz De Fora Brazil

This paper aims to formulate the multi-objective structural optimization problem to find the best member group-ing of truss structures. The weight of the structure and the different number of discrete cross-sectional areas are the conflicting objective functions to be minimized simultaneously, generating a Pareto front presenting the non-dominated solutions. Sixteen multi-objective evolutionary algorithms are adopted to solve the proposed optimization problems. Several benchmark problems and a new proposed optimization problem are analyzed. Even though original groupings based on symmetry are defined, it is possible to discover other competitive structural member configurations that can interest decision-makers regarding manufacturing, cutting, transportation, checking, and welding.

关键词： Automatic member grouping Multi-objective structural optimization differential evolution algorithms Cardinality constraints

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Offline Handwritten Signature Verification through Network Radial Basis Functions optimized by differential evolution

Offline Handwritten Signature Verification through Network R...

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International Joint Conference on Neural Networks

作者： Saulo Henrique Leoncio de Medeiros Napoles Cleber Zanchettin Informatic Center Federal University of Pernambuco

ISBN: (纸本)9781467314886

The handwritten signature is present in all important documents. In law, if the signature on a document is false, this document is also considered a fraud. This paper uses a neural network of radial basis function optimized by differential evolution Algorithm with features that best discriminates between a genuine signature of a simulated forgery. The experiments with this promising technique were made with a GPDS-300gray images base and the results subjected to statistical tests with the performance of technical literature.

关键词： Component Handwritten Signature Off-line Verification Radial Basis Function differential evolution Radial basis function basis functions handwritten signature differential evolution algorithms forgery Statistical tests OFF LINE signatures Neural network evolutionary algorithm

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Multi-objective test suite minimisation using Quantum-inspired Multi-objective differential evolution Algorithm

Multi-objective test suite minimisation using Quantum-inspir...

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IEEE International Conference on Computational Intelligence and Computing Research

作者： A. Charan Kumari K. Srinivas M. P. Gupta Department of Physics & Computer Science Dayalbagh Educational Institute (Deemed University) Agra India Department of Electrical Engineering Dayalbagh Educational Institute (Deemed University) Agra India Department of Management Studies Indian Institute of Technology New Delhi India

ISBN: (纸本)9781467313421

This paper presents the solution for multi-objective test suite minimisation problem using Quantum-inspired Multi-objective differential evolution Algorithm. Multi-objective test suite minimisation problem is to select a set of test cases from the available test suite while optimizing the multi objectives like code coverage, cost and fault history. As test suite minimisation problem is an instance of minimal hitting set problem which is NP-complete; it cannot be solved efficiently using traditional optimization techniques especially for the large problem instances. This paper presents Quantum-inspired Multi-objective differential evolution Algorithm (QMDEA) for the solution of multi-objective test suite minimisation problem. QMDEA combines the preeminent features of differential evolution and Quantum Computing. The features of QMDEA help in achieving quality Pareto-optimal front solutions with faster convergence. The performance of QMDEA is tested on two real world applications and the results are compared against the state-of-the-art multi-objective evolutionary algorithm NSGA-II. The comparison of the obtained results indicates superior performance of QMDEA.

关键词： regression testing software testing test suite minimisation regression testing program testing CASING INSPECTION differential Solutions differential evolution algorithms evolution evolution

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differential evolution ALGORITHM-BASED RANGE IMAGE REGISTRATION WITH SCALING PARAMETERS

DIFFERENTIAL EVOLUTION ALGORITHM-BASED RANGE IMAGE REGISTRAT...

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IEEE International Conference on Image Processing

作者： Taifeng Li Liang Gao Quanke Pan Peigen Li The State Key Laboratory of Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science & Technology

ISBN: (纸本)9781467399623

Range image registration is used to align two or more three dimensional (3D) point sets into a common coordinate system. In the matching process, however, the influence of the resolution of 3D scans is ignored generally. In this paper, an enhanced differential evolution (DE) algorithm is proposed to align two different scaling 3D point sets. Specifically, Generalized Procrustes Analysis (GPA) method is employed to accelerate the DE in population initialization. In addition, a novel mutation technique is introduced to improve the accuracy for registration. The proposed method can evaluate all of the transformation parameters synchronously and it is effective for both isotropic and anisotropic scaling registration problem. Experiment results reveal that the proposed algorithm is much superior to other methods in terms of accuracy and robustness for scaling registration problem.

关键词： Range image Registration Transformation parameters differential evolution algorithm range image differential evolution algorithms Registration image registration Scale formation scale parameter Coordinate system

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A novel Two-layer Hierarchical differential evolution Algorithm for Global Optimization

A novel Two-layer Hierarchical Differential Evolution Algori...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Yinzhi Zhou Xinyu Li Liang Gao State Key Laboratory of Digital Manufacturing Equipment &Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781479906505

This paper proposes a novel Two-layer Hierarchical differential evolution (THDE) algorithm to improve the search ability of differential evolution (DE) algorithm. Individuals are separated into bottom layer and top layer. In the bottom layer, individuals are divided into several groups. Modified DE/current-best/1/bin strategy is conducted to produce offspring, where the best individual comes from top layer. In the top layer, modified DE/rand/1/bin strategy is used to update individuals. A set of famous benchmark functions has been used to test and evaluate the performance of the proposed THDE. The experimental results show that the proposed algorithm is better than DE/current-best/1/bin and DE/rand/1/bin and better than or at least comparable to the self-adaptive DE (JDE) and intersect mutation differential evolution algorithm (IMDE) for most functions.

关键词： differential evolution two-layer hierarchy global optimization Global optimization top layer differential evolution algorithms TWO-LAYER evolutionary algorithm Hierarchical MT

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The Design of Digital IIR Filters Using a differential evolution Optimization Algorithm with Taguchi Crossover

The Design of Digital IIR Filters Using a Differential Evolu...

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IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Peter Stubberud UNLV Las Vegas Nevada USA

ISBN: (纸本)9781728138862

This paper presents a differential evolution algorithm that uses an elitist, ranking, random selection method and both two and three level Taguchi crossover. The algorithm is applied to 13 commonly used global numerical optimization test functions, including a spherical, three hyper-ellipsoid, the sum of different powers, Rastrigin's, Schwefel's, Griewank's, Rosen-brock's valley, Styblinski-Tang, Ackley's Path, Price-Rosenbrock, and Eggholder's functions. The algorithm is also used to design a number of optimal digital infinite impulse response (IIR) filters.

关键词： evolutionary computation IIR filters optimisation Taguchi methods Infinite impulse response filters Taguchi methods evolutionary algorithm Infinite Impulse Response selection methods differential evolution algorithms

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Non-first-order Kinetics Modelling Method for Stibnite Flotation Process

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IFAC-PapersOnLine 2018年第21期51卷 317-322页

作者： De-gang, X.U. Cong, L.U.O. Yi-wan, C.H.E.N. Yong-fang, X.I.E. School of Information Science and Engineering Central South University Changsha410083 China

As the mineral particle size and the drug effect are not uniform, resulting in a single flotation rate constant cannot describe the flotation process accurately. In this paper, based on the results of stibnite batch flotation, the non-first-order kinetic model is proposed to describe the stibnite flotation process. Based on the quadratic orthogonal regression requirements, the collector, pH adjuster and stirring rate were selected as the experimental factors, and the test combination was designed. Aiming at the characteristics of flotation rate constant with time, this paper presents a non-first-order kinetic model of stibnite batch flotation using double exponential function to describe the change of flotation rate constant. With the aim of minimizing the prediction error of recovery rate, the differential evolution algorithm is used to realize the off-line identification of the flotation rate change function. Compared with the first-order kinetics method, the proposed piecewise linear model can better describe and predict the flotation kinetics curve of stibnite. © 2018

关键词： Flotation Antimony compounds evolutionary algorithms Exponential functions Identification (control systems) Kinetic parameters Kinetic theory Optimization Particle size Piecewise linear techniques Rate constants Sulfide minerals differential evolution algorithms Double exponential functions Flotation process Flotation rate constants Flotation rates Kinetic modeling Orthogonal regression Piecewise linear modeling

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Freeform deformation versus B-spline representation in inverse airfoil design

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JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING 2008年第2期8卷 024001-1-024001-1页

作者： Amoiralis, Eleftherios I. Nikolos, Ioannis K. Tech Univ Crete Dept Prod Engn & Management GR-73100 Khania Greece

Freeform deformation (FFD) is a well established technique for 3D animation applications, used to deform two-or three-dimensional geometrical entities. Over the past few years, FFD technique has aroused growing interest in several scientific communities. In this work, an extensive bibliographic survey of the FFD technique is initially introduced, in order to explore its capabilities in shape parametrization. Moreover FFD technique is compared to the classical parametrization technique using B-splihe curves, in the context of the airfoil design, optimization problem, by performing inverse airfoil design tests, with a differential evolution algorithm to serve as the optimizer The criterion of the comparison between the two techniques is the achieved accuracy in the approximation of the reference pressure distribution. Experiments are presented, comparing FFD to B-spline techniques under the same flow conditions, for various numbers of design variables. Sensitivity analysis is applied for providing further insight into the differences in the performance of the two techniques.

关键词： Inverse reference pressure splines (mathematics) three-dimensional animation scientific community differential evolution algorithms parameterization

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differential evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems

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APPLIED COMPUTATIONAL INTELLIGENCE AND SOFT COMPUTING 2017年第1期2017卷 7974218.1-7974218.8页

作者： Mohamed, Ali Wagdy Almazyad, Abdulaziz S. Al Yamamah Univ Coll Comp & Informat Syst POB 45180 Riyadh 11512 Saudi Arabia Cairo Univ Inst Stat Studies & Res Dept Operat Res Giza 12613 Egypt King Saud Univ Coll Comp & Informat Sci Riyadh Saudi Arabia

Copyright (C) 2017 Ali Wagdy Mohamed and Abdulaziz S. Almazyad. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. This paper presents differential evolution algorithm for solving high-dimensional optimization problems over continuous space. The proposed algorithm, namely, ANDE, introduces a new triangular mutation rule based on the convex combination vector of the triplet defined by the three randomly chosen vectors and the difference vectors between the best, better, and the worst individuals among the three randomly selected vectors. The mutation rule is combined with the basic mutation strategy DE/rand/1/bin, where the new triangular mutation rule is applied with the probability of 2/3 since it has both exploration ability and exploitation tendency. Furthermore, we propose a novel self-adaptive scheme for gradual change of the values of the crossover rate that can excellently benefit from the past experience of the individuals in the search space during evolution process which in turn can considerably balance the common trade-off between the population diversity and convergence speed. The proposed algorithm has been evaluated on the 20 standard high-dimensional benchmark numerical optimization problems for the IEEE CEC-2010 Special Session and Competition on Large Scale Global Optimization. The comparison results between ANDE and its versions and the other seven state-of-the-art evolutionary algorithms that were all tested on this test suite indicate that the proposed algorithm and its two versions are highly competitive algorithms for solving large scale global optimization problems.

关键词： Novel Mutation Global optimization change in value Scale formation differential evolution algorithms evolutionary algorithm

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A Novel Online Test-sheet Composition Approach for Web-based Testing

A Novel Online Test-sheet Composition Approach for Web-based...

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IEEE International Symposium on IT in Medicine and Education

作者： Wang Feng-rui Wang Wen-hong Pan Quan-ke Zuo Feng-chao Liang, J. J. Liaocheng Univ Sch Media & Commun Technol Liaocheng 252059 Peoples R China Liaocheng Univ Sch Comp Sci Liaocheng 252059 Peoples R China Zhengzhou Univ Sch Elect Engn Zhengzhou 450001 Peoples R China

ISBN: (纸本)9781424439294

In e-learning environment, web-based testing system can help to evaluate learners learning status precisely. To meet the needs of multiple assessment criteria, a new test-sheet construction model was proposed Based on the proposed model, a differential evolution algorithm with effective coding strategy was designed to generate high quality test-sheets for web-based testing. In simulation experiments, the proposed algorithm was applied to a series of item banks with different scales. Superiority of the proposed algorithm is demonstrated by comparing it with the simple genetic algorithm and differential evolution algorithm with binary coding strategy.

关键词： differential evolution algorithms evolutionary algorithm Genetic Algorithm (GA) encoding strategy quality review binary code scan-based testing Test systems simulation test series (mathematics)

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