Skip to main navigation
Skip to search
Skip to main content
Queen's University Belfast Home
Help & FAQ
Home
Profiles
Research units
Research output
Projects
Impacts
Datasets
Activities
Prizes
Press/Media
Student theses
Equipment
Search by expertise, name or affiliation
A new multi-objective genetic algorithm for assembly line balancing
S. Li,
J. Butterfield
,
A. Murphy
School of Mechanical and Aerospace Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
135
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A new multi-objective genetic algorithm for assembly line balancing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Earth and Planetary Sciences
Time
100%
Genetic Algorithm
100%
Need
66%
Approach
66%
Cycle
66%
Planning
66%
Focusing
33%
Datum
33%
Investigation
33%
Quality
33%
Input
33%
Proving
33%
Allocation
33%
Product
33%
Shape
33%
Industry
33%
Foci
33%
Decision Making
33%
Definition
33%
Loop
33%
Manufacturing
33%
Production Planning
33%
Engineering
Multiobjective Genetic Algorithm
100%
Assembly Line Balancing
100%
Gas Fuel Manufacture
50%
Cycle Time
50%
Planning
50%
Fields
25%
Closed Loop
25%
Products
25%
Validation
25%
Data Flow
25%
Elements
25%
Genetic Algorithm
25%
Tasks
25%
Production
25%
Converges
25%
Lifecycle
25%
Optimum Number
25%
Production Planning
25%
Computer Science
Workstations
100%
multi-objective evolutionary algorithm
100%
Cycle Time
66%
Functions
33%
Validation
33%
Genetic Algorithm
33%
Predictive Method
33%
Industry 4.0
33%
Human Decision Making
33%
Digital Twin
33%
Ongoing Operation
33%