A genetic algorithm for allocating units in land combat

Download
116131.pdf
2001
Erdem, Ergin
Show full item record
61
views
0
downloads
https://hdl.handle.net/11511/11500
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

A genetic algorithm for university examination scheduling
Ergül, Ayhan; Oğuztüzün, Halit; Department of Computer Engineering (1995)
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...
A heuristic algorithm for hierarchical representation of form documents
Duygulu, P; Atalay, Mehmet Volkan; Dincel, E (1998-08-20)
In this paper our aim is to develop a logical representation for form documents. We propose a hierarchical structure to represent the logical layout of a form by using lines. The approach is top-down and no domain knowledge such as the preprinted data or filled-in data is used. Logically same but physically different forms are associated to the same hierarchical tree. This representation can handle geometrical modifications and slight variations.(1).
A heuristic algorithm for optical character recognition of Arabic script
YarmanVural, FT; Atici, A (1996-03-20)
In this paper, a heuristic method is developed for segmentation, feature extraction and recognition of the Arabic script. The study is part of a large project for the transcription of the documents in Ottoman Archives. A geometrical and topological feature analysis method is developed for segmentation and feature extraction stages. Chain code transformation is applied to main strokes of the characters which are then classified by the hidden Markov model (HMM) in the recognition stage. Experimental results i...
A heuristic algorithm for optical character recognition of Arabic script
Atici, AA; YarmanVural, FT (1997-10-01)
In this paper, a heuristic method is developed for segmentation, feature extraction and recognition of the Arabic script. The study is part of a large project for transcription of the documents in Ottoman Archives. A geometrical and topological feature analysis method is developed for segmentation and feature extraction stages. Chain code transformation is applied to main strokes of the characters, which are classified by the hidden Markov model (HMM) in the recognition stage. Experimental results indicate ...
Citation Formats
E. Erdem, “A genetic algorithm for allocating units in land combat,” Middle East Technical University, 2001.
METU IIS - Integrated Information Service open@metu.edu.tr