A genetic algorithm for graph partitioning

Download
047357.pdf
1995
Akman, Esra
Show full item record
81
views
0
downloads
https://hdl.handle.net/11511/11673
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

A genetic algorithm for 2d shape optimization
Chen, Wei Hang; Oral, Süha; Department of Mechanical Engineering (2008)
In this study, an optimization code has been developed based on genetic algorithms associated with the finite element modeling for the shape optimization of plane stress problems. In genetic algorithms, constraints are mostly handled by using the concept of penalty functions, which penalize infeasible solutions by reducing their fitness values in proportion to the degrees of constraint violation. In this study, An Improved GA Penalty Scheme is used. The proposed method gives information about unfeasible ind...
A genetic algorithm for multi-mode resource constrained project scheduling
Güvenç, Burak; Birgönül, Talat; Department of Civil Engineering (2000)
A Genetic algorithm for bicriteria scheduling.
Aytaç, A. Aslı; Köksalan, M Murat; Department of Industrial Engineering (1998)
A genetic algorithm for the location-routing problem with time windows
Özgönenç, Hande; Meral, Fatma Sedef; Department of Industrial Engineering (2006)
The emphasis on minimizing the logistics costs to decrease overall system costs has led the researchers to consider the interdependencies between the decisions of locating facilities and planning the routes from those facilities. The location-routing problems considering this issue are the subject of this thesis study. A two-level hierarchical distribution system is considered in which goods are delivered from the sources (plants) to the facilities (depots) and then from the facilities to the customers. The...
A genetic algorithm for resource leveling of construction projects
Iranagh, Mahdi Abbasi; Sönmez, Rifat (2012-01-01)
Critical path method (CPM) is commonly used in scheduling of construction projects. However, CPM only considers the precedence relations between the activities and does not consider resource optimization during scheduling of projects. Optimal allocation of resources can be achieved by resource levelling. Resource levelling is crucial for effective use of construction resources particularly to minimize the project costs. However, commercial scheduling software has very limited capabilities for solving the re...
Citation Formats
E. Akman, “A genetic algorithm for graph partitioning,” Middle East Technical University, 1995.
METU IIS - Integrated Information Service open@metu.edu.tr