In this study, dimensioning optimization of the motion and force transmitting components of a
gearbox through genetic algorithm (GA) was performed. Gearbox shaft, gear and rolling …

Multiple, often conflicting objectives arise naturally in most real-world optimization. Gear is a
mechanical device that transfers the rotating motion and power from one part of a machine …

Conventional engineering design optimization requires a large amount of expensive
experimental tests from prototypes or computer simulations, which may result in an …

The traditional GABP model used in complex coal and gas outbursts prediction, which trains
the back-propagation neural networks (BPNN) by Genetic Algorithm (GA), is provided with …

This work examines the possibility of using genetic algorithms for the optimization of the
loads transmitted in mechanisms. The variables of design are the relative positions of the …

In a time-to-market environment, designers may not be able to incorporate all the design
features in a computer game. For each feature, there are several levels of implementation …

This paper offers an integrated optimization of mechanisms with genetic algorithm, the
principle of which is to use a neural network as a global calculation program and to couple …

Blended acquisition along with efficient spatial sampling is capable of providing high‐quality
seismic data in a cost‐effective and productive manner. While deblending and data …

Gears are the most common of machine elements and due to that many studies have been
conducted on optimum gear design. Gear optimization can be divided into two categories …

This book results from the synthesis of work started in 1983 on shape optimization and in
1993 on the applications of stochastic techniques for the optimisation of structures and …