Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks, Volume 16

Editor
Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
Anna L. Buczak
Anna L. Buczak
Search for other works by this author on:
David L. Enke
David L. Enke
Search for other works by this author on:
Mark Embrechts
Mark Embrechts
Search for other works by this author on:
Okan Ersoy
Okan Ersoy
Search for other works by this author on:
ISBN-10:
0791802566
No. of Pages:
1000
Publisher:
ASME Press
Publication date:
2006

The conceptual design of object-oriented software is difficult to learn and perform yet has a crucial impact on subsequent downstream software development. In an attempt to support the human designer during conceptual object-oriented software design, a multi-objective genetic algorithm has been developed to search and explore the design space. Two case studies are investigated using class cohesion and size as multi-objective fitness functions, and the generated solutions are compared with those from manual designs. While cohesion values are broadly similar, the genetic algorithm also produces a variety of interesting design variants of equivalent fitness that have not been identified by...

Abstract
Introduction
Multi-Objective Genetic Algorithm
Case Study 1: Cinema Booking System
Case Study 2: Select Cruises
Results
Conclusions
References
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal