Results 21 to 30 of about 163,780 (214)

Design Optimization of Multibody Systems by Sequential Approximation

Multibody System Dynamics, 1998
We propose to couple the multibody analysis and optimization algorithm by approximation concepts. The basic idea is to generate approximations of objective function and constraints in a certain part of the design space, and to find the optimum point for this approximate optimization problem.
Etman, L.F.P., Campen, van, D.H., Schoofs, A.J.G.   +2 more
openaire   +2 more sources

Sequential approximate optimality conditions for a constrained convex vector minimization problem and application to multiobjective fractional programming problem [PDF]

Iranian Journal of Numerical Analysis and Optimization
The aim of this paper is to establish sequential necessary and sufficient approximate optimality conditions for a constrained convex vector mini-mization problem without any constraint qualifications, characterizing the approximate proper and weak ...
A. Ed-dahdah, M. Laghdir, M. Echchaabaoui, M. Mabrouk   +3 more
doaj   +1 more source

Bayesian system identification and chaotic prediction from data for stochastic Mathieu-van der Pol-Duffing energy harvester

Theoretical and Applied Mechanics Letters, 2023
In this paper, the approximate Bayesian computation combines the particle swarm optimization and sequential Monte Carlo methods, which identify the parameters of the Mathieu-van der Pol-Duffing chaotic energy harvester system. Then the proposed method is
Di Liu, Shen Xu, Jinzhong Ma
doaj   +1 more source

Data Driven Surrogate Based Optimization in the Problem Solving Environment WBCSim [PDF]

, 2009
Large scale, multidisciplinary, engineering designs are always difficult due to the complexity and dimensionality of these problems. Direct coupling between the analysis codes and the optimization routines can be prohibitively time consuming due to the ...
Deshpande, S., Kamke, F. A., Ramakrishnan, N., Shu, J., Watson, L.T.   +4 more
core   +3 more sources

Optimization of Initial Blank Shape with a Variable Blank Holder Force in Deep-Drawing via Sequential Approximate Optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, the initial blank shape is optimized via sequential approximate optimization (SAO) with radial basis function (RBF) network. In deep drawing, the wrinkling and tearing are major defects.
Jirasak SRIRAT, Satoshi KITAYAMA, Koetsu YAMAZAKI   +2 more
doaj   +1 more source

Simultaneous Optimization of Variable Blank Holder Force Trajectory and Tools Motion in Deep Drawing via Sequential Approximate Optimization

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2012
In this paper, variable blank holder force (VBHF) trajectory and tools motion are optimized simultaneous by a sequential approximate optimization (SAO) with radial basis function (RBF) network.
Jirasak SRIRAT, Satoshi KITAYAMA, Koetsu YAMAZAKI   +2 more
doaj   +1 more source

A Parallel Best-Response Algorithm with Exact Line Search for Nonconvex Sparsity-Regularized Rank Minimization [PDF]

, 2017
In this paper, we propose a convergent parallel best-response algorithm with the exact line search for the nondifferentiable nonconvex sparsity-regularized rank minimization problem.
Pesavento, Marius, Yang, Yang
core   +2 more sources

Optimization and Analysis on Trajectory with Multiple Constraints for Hypersonic Air-vehicle

MATEC Web of Conferences, 2015
The trajectory optimization technology is one of the key technologies for hypersonic air-vehicle. There are multiple constraints in the process of hypersonic flight, such as uncertainty of flight environment, thermal current, dynamic pressure and ...
Wei Changzhu, Huang Rong, Li Hao, Shan Yongzhi   +3 more
doaj   +1 more source

Optimal design of torque distribution algorithm considering battery charge strategy for hybrid electric vehicles

Nihon Kikai Gakkai ronbunshu, 2016
Hybrid electric vehicles, which have an internal combustion engine (ICE) and electric motor(s) (EMs), are effective to improve fuel consumption and exhaust emissions.
Marina SAIKYO, Satoshi KITAYAMA, Yui NISHIO, Kojiro TSUTSUMI   +3 more
doaj   +1 more source

A Novel Surrogate Model-Based Solving Framework for the Black-Box Dynamic Co-Design and Optimization Problem in the Dynamic System

Mathematics, 2022
When encountering the black-box dynamic co-design and optimization (BDCDO) problem in the multidisciplinary dynamic system, the finite difference technique is inefficient or even infeasible to provide approximate numerical gradient information for the ...
Qi Zhang, Yizhong Wu, Li Lu
doaj   +1 more source