An Investigation of PWB Layout by Genetic Algorithms to Maximize Fatigue Life

An Investigation of Pwb Layout by Genetic Algorithms to Maximize Fatigue Life

Thermal considerations in Printed Wiring Board (PWB) assemblies are becoming increasingly important as packaging constraints shrink and power use escalates. In this paper, we provide a study on the potential for a Genetic Algorithm-driven PWB layout design tool to improve the thermal performance of such assemblies. As a case study, the thermo-mechanical fatigue of surface mounted leadless chip ...

an investigation into translation of cultural concepts by beginner and advance student using think – aloud protocols

this research aims at answering the questions about translation problems and strategies applied by translators when translating cultural concepts. in order to address this issue, qualitative and quantitative study were conducted on two groups of subjects at imam reza international university of mashhad. these two groups were assigned as beginner and advanced translation students (10 students). ...

Optimization of cascade hydropower system operation by genetic algorithm to maximize clean energy output

Background: Several reservoir systems have been constructed for hydropower generation around the world. Hydropower offers an economical source of electricity with reduce carbon emissions. Therefore, it is such a clean and renewable source of energy. Reservoirs that generate hydropower are typically operated with the goal of maximizing energy revenue. Yet, reservoir systems are inefficiently ope...

Applying Genetic Algorithm to Dynamic Layout Problem

In today’s economy, manufacturing plants must be able to operate efficiently and respond quickly to changes in the product mix and demand.[1] Layout design has a significant impact on manufacturing efficiency. Initially, it was treated as a static decision but due to improvements in technology, it is possible to rearrange the manufacturing facilities in different scenarios. The Plant layout...

An Investigation of Messy Genetic Algorithms