A Novel Differential Evolution Algorithm Based on ε-Domination and Orthogonal Design Method for Multiobjective Optimization

In the "call for paper" of 2013 IEEE Congress on Evolutionary Computation (CEC 2013), Special Session on "Differential Evolution: Past, Present and Future", "Experimental design and analysis of DE" is the third area. In this paper, we propose a rapid analysis approach based on Orthogonal Design (OD) and Analysis of Variance (ANOVA) for performance of DE. The analysis results can be the reliable basis of the principles guiding the creation of adapting rules in novel adaptive DE algorithms.

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Multiobjective optimization design of concentric ring arrays with 3D beam scanning using differential evolution algorithm

International Journal of Numerical Modelling Electronic Networks Devices and Fields ◽

10.1002/jnm.1864 ◽

2012 ◽

Vol 26 (6) ◽

pp. 602-619 ◽

Cited By ~ 4

Author(s):

Li Zhang ◽

Yong-Chang Jiao ◽

Bo Chen ◽

Zi-Bin Weng

Keyword(s):

Multiobjective Optimization ◽

Differential Evolution ◽

Optimization Design ◽

Differential Evolution Algorithm ◽

Concentric Ring ◽

Beam Scanning ◽

Evolution Algorithm

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Weight optimization of composite cellular beam based on the differential evolution algorithm

Journal of Science and Technology in Civil Engineering (STCE) - NUCE ◽

10.31814/stce.nuce2018-12(5)-04 ◽

2018 ◽

Vol 12 (5) ◽

pp. 28-38

Author(s):

Nguyen Tran Hieu ◽

Vu Anh Tuan

Keyword(s):

Differential Evolution ◽

Design Method ◽

Minimum Weight ◽

Differential Evolution Algorithm ◽

Limit States ◽

Web Opening ◽

Design Variables ◽

Optimal Spacing ◽

Evolution Algorithm ◽

Hot Rolled

In this study, the differential evolution algorithm is used for solving the optimum design problem of composite cellular beams. The design variables are hot rolled profile from which the cellular beam will be produced as well as opening size and its spacing. The objective function is the minimum weight of cellular beam while the design constraints include satisfying the ultimate limit states, the serviceability limit states and the geometric limitations. The design method adopted in this study is based on EN 1994-1-1. Furthermore, a parametric study is conducted to evaluate the influence of beams spacing to the weight of floor beam system. As a result, an optimal spacing of composite cellular beams is proposed. Keywords: composite beam; cellular beam; web opening; steel beam optimization; differential evolution.

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A Modified Multiobjective Self-Adaptive Differential Evolution Algorithm and Its Application on Optimization Design of the Nuclear Power System

Science and Technology of Nuclear Installations ◽

10.1155/2019/1041486 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Yunjia Yang ◽

Shinian Peng ◽

Li Zhu ◽

Dan Zhang ◽

Zhifang Qiu ◽

...

Keyword(s):

Optimal Design ◽

Multiobjective Optimization ◽

Power System ◽

Differential Evolution ◽

Nuclear Power ◽

Optimization Design ◽

Differential Evolution Algorithm ◽

Nuclear Power System ◽

Adaptive Differential Evolution ◽

Evolution Algorithm

A modified multiobjective self-adaptive differential evolution algorithm (MMOSADE) is presented in this paper to improve the accuracy of multiobjective optimization design in the nuclear power system. The performance of the MMOSADE is tested by the ZDT test function set and compared with classical evolutionary algorithms. The results indicate that MMOSADE has a better performance in convergence and diversity. Based on the MMOSADE, a multiobjective optimization design platform for the nuclear power system is proposed, and the application of which is carried out. The evaluation program of the PRHR-HX in AP1000 is developed, and its reliability is verified. The optimal design schemes of PHHR-HX are obtained by utilizing the multiobjective optimization design platform. The results show that the optimal design schemes can envelop the prototype design scheme. This conclusion proves that the optimization design platform proposed in this paper is effective and feasible.

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