Table of content

Alustath

الاستاذ

ISSN: 0552265X 25189263
Publisher: Baghdad University
Faculty: Education Ibn Rushd
Language: Arabic and English

This journal is Open Access

About

About the magazine
Issued by the Faculty of Education, Ibn Rushd scientific journal entitled (Journal of the professor), was her first release in 1952. In the beginning. It deals with scientific research, literature and the Arab and Islamic civilization, and contributes to the professors of colleges according to their competence to define the educational community in the Arab countries and abroad.
• the name of the magazine: -Alustath( Professor)
• Produced by: - Faculty of Education / Ibn Rushd
• the international number ((ISSN)):-0552-265X/E-2518-9263
• E-mail to the magazine: - alustath.journal@ircoedu.uobaghdad.edu.iq
• Year Released: --1952
• Type of release (quarterly, semi-annual): - quarterly.

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Contact info

Email : alustath.journal@ircoedu.uobaghdad.edu.iq

Table of content: 2011 volume: issue:144

Article
تحليل فني لقصيدة صوفية أندلسية من ديوان ترجمان الأشواق للشيخ محيي الدين بن عربي

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Abstract

Some researchers were interested in taking some lines of this poem that I had studied for purposes of citation as it represents the poet's viewpoint of religions unity. Upon analysis, the research refuses the idea of religions unity in this poem, as it is organized with a subject unity all through its lines, which makes splitting difficult, and this is what the research has approved. In addition, the poem is filled with symbolism that the poet has employed to express meanings of good. And so, this research can be said to be the first one of its kind that aims to solve the ambiguity of mystical poetry through poems and through Sufis` sayings and their illustrations, especially that of Ibin Arabi.

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Article

Article
الخصخصة نشأتها... إيجابياتها... سلبياتها...

Authors: فؤاد خليل لطيف
Pages: 353-404
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Article
Hypothetical Constructions

Authors: Athra'a H. Ali
Pages: 455-472
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Article
Hybrid Steady State Genetic Algorithm for Layout Problem and the Effect of Using it on Some Types of Crossover

Authors: Narjis Mezaal Shati
Pages: 473-496
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Abstract

Abstract
This paper investigates a genetic algorithm optimization for the layout problem to show the effect of some type of crossover approaches on the behavior of a steady state genetic algorithm for design optimization. This algorithm is based on suitable techniques including solution encoding, evaluation function definition, and effective crossover operators. It focuses on designing and representing issues of the problem and also shows the effects of some possible types of crossover operators.
A number of test cases using different implementations of genetic algorithms achieve interesting results which illustrate the performance of genetic algorithm present in this paper. So, genetic algorithm (GA) is used in conjunction with local optimizer to find optimal spatial layouts. Where selected the local optimizer is the best choice of refining GA solutions. Different types of crossover used in the modified algorithm gain a better result than other types of crossover chosen.
Key words: Genetic algorithms, Hybrid steady state, Layout problem.

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