Transient search optimization: a new meta-heuristic optimization algorithm
This article offers a new physical-based meta-heuristic optimization algorithm, which is
named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the …
named Transient Search Optimization (TSO) algorithm. This algorithm is inspired by the …
Soft computing in engineering design–A review
KM Saridakis, AJ Dentsoras - Advanced Engineering Informatics, 2008 - Elsevier
The present paper surveys the application of soft computing (SC) techniques in engineering
design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural …
design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural …
An adaptive penalty function in genetic algorithms for structural design optimization
P Nanakorn, K Meesomklin - Computers & Structures, 2001 - Elsevier
In genetic algorithms, constraints are mostly handled by using the concept of penalty
functions, which penalize infeasible solutions by reducing their fitness values in proportion …
functions, which penalize infeasible solutions by reducing their fitness values in proportion …
Genetic optimisation of gears
JL Marcelin - The International Journal of Advanced …, 2001 - search.proquest.com
Genetic Optimisation of Gears Page 1 Int J Adv Manuf Technol (2001) 17:910–915 © 2001
Springer-Verlag London Limited Genetic Optimisation of Gears JL Marcelin Laboratorie Sols …
Springer-Verlag London Limited Genetic Optimisation of Gears JL Marcelin Laboratorie Sols …
[HTML][HTML] Seismic Performance Prediction of RC, BRB and SDOF Structures Using Deep Learning and the Intensity Measure INp
The motivation for using artificial neural networks in this study stems from their
computational efficiency and ability to model complex, high-level abstractions. Deep …
computational efficiency and ability to model complex, high-level abstractions. Deep …
Use of genetic algorithm to design optimal neural network structure
N Öztürk - Engineering Computations, 2003 - emerald.com
In this research, neural network (NN) and genetic algorithm (GA) are used together to design
optimal NN structure. The proposed approach combines the characteristics of GA and NN to …
optimal NN structure. The proposed approach combines the characteristics of GA and NN to …
Genetic optimization of stiffened plates and shells
JL Marcelin - International Journal for Numerical Methods in …, 2001 - Wiley Online Library
This work gives two examples of application of stochastic techniques for the optimization of
stiffened plates or shells. The research strategy consists in substituting, for finite‐element …
stiffened plates or shells. The research strategy consists in substituting, for finite‐element …
Genetic search applied to selecting support positions in machining of mechanical parts
JL Marcelin - The International Journal of Advanced …, 2001 - search.proquest.com
This work gives two examples of the application of stochastic techniques (genetic
algorithms) to the optimisation of support positions in machining of mechanical parts …
algorithms) to the optimisation of support positions in machining of mechanical parts …
[图书][B] Soft computing and its applications, volume two: fuzzy reasoning and fuzzy control
KS Ray - 2014 - books.google.com
This is volume 2 of the two-volume Soft Computing and Its Applications. This volume
discusses several advanced features of soft computing and hybrid methodologies. This new …
discusses several advanced features of soft computing and hybrid methodologies. This new …
基于遗传算法的约束阻尼梁减振优化分析
赵冬艳， 石慧荣 - 力学与实践, 2011 - lxsj.cstam.org.cn
约束阻尼结构能有效减振, 但会增加结构的质量和体积, 基于此有必要对其结构进行优化.
本文应用有限元软件ANSYS 建立增设支撑层的约束阻尼梁模型, 根据模态应变能原理提取约束 …
本文应用有限元软件ANSYS 建立增设支撑层的约束阻尼梁模型, 根据模态应变能原理提取约束 …