… This paper examines the possibility of using a stochastic optimisation method (genetic
algorithm) and penalty selection methods for computer-aided design of gears. The examples …

… analysis of the planetary gear train is required. In the present study, an optimisation approach
based on Genetic Algorithms is proposed to improve planetary gear train performances. …

… a two-stage gear reducer is optimised with major conflict functions like minimisation of gear
material … Citation8 designed a three-stage wind turbine gearbox and optimized it with genetic …

… studies on gear optimisation, this review article aims to summarise results obtained by other
researchers and to formalise gear optimisation … algorithms (genetic algorithm was used). The …

… then subjected to optimisation by Genetic Algorithm. A stochastic approach as a Genetic
Algorithm (… of design parameters for minimum weight of spur gears. The purpose of this study is …

… mechanical gears due to the … the genetic algorithm optimisation approach to MG design and
examines its effectiveness. While achieving a high torque target of 250±5% kN m with a gear …

… This paper focuses on a software solution, in particular gear shift map optimisation based
on expected driving condition and vehicle usage, to minimise fuel consumption represented by …

… The purpose of this paper is to automate preliminary design of gear drives by minimizing
volume of gear trains. A stochastic approach Genetic Algorithm (… Genetic optimisation of gears …

… A study is presented to compare the performance of gear … with normal and defective gears
are processed for feature … of input features are optimised using genetic algorithms (GAs). For …

… optimisation algorithm is demonstrated by solving a discrete optimisation problem of a four
stage gear … by using other optimisation methods such as genetic algorithm, particle swarm …