Skip to main navigation
Skip to search
Skip to main content
Aston Research Explorer Home
Help & FAQ
Home
Research units
Profiles
Research Outputs
Datasets
Student theses
Activities
Press/Media
Prizes
Equipment
Search by expertise, name or affiliation
A genetic algorithm to optimise the component placement process in the PCB assembly
William Ho, Ping Ji
Operations and Service Management
Aston Business School
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A genetic algorithm to optimise the component placement process in the PCB assembly'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Component Placement
100%
Component Retrieval
33%
Component Sequencing
33%
Component Type
33%
Distance Traveled
33%
Feeder
66%
Feeder Arrangement
33%
Genetic Algorithm
100%
Hybrid Genetic Algorithm
33%
Pick-and-place
33%
Placement Machine
66%
Placement Process
100%
Printed Circuit Board
66%
Printed Circuit Board Assembly
100%
Sequencing Problem
33%
Total Distance
33%
Computer Science
Genetic Algorithm
100%
hybrid genetic algorithm
25%
Information Retrieval
25%
Placement Process
100%
Printed Circuit Board
100%
Total Distance
25%
Engineering
Genetic Algorithm
100%
Printed Circuit Board
100%