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Global Best Harmony Search With A New Pitch Adjustment Designed For Nurse Rostering

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Awadallah, Mohammed A. (Author)
مؤلفين آخرين: Khader, Ahamad Tajudin (Co-Author) , Al-Betar, Mohammed Azmi (Co-Author) , Bolaji, Asaju La’aro (Co-Author)
المجلد/العدد: مج25, ع2
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2013
الصفحات: 145 - 162
DOI: 10.33948/0584-025-002-004
ISSN: 1319-1578
رقم MD: 972925
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Nurse Rostering | Harmony Search | Approximation Method | Population Based | Global Best
رابط المحتوى:
صورة الغلاف QR قانون
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LEADER 02313nam a22002657a 4500
001 1715837
024 |3 10.33948/0584-025-002-004 
041 |a eng 
044 |b السعودية 
100 |9 524504  |a Awadallah, Mohammed A.  |e Author 
245 |a Global Best Harmony Search With A New Pitch Adjustment Designed For Nurse Rostering 
260 |b جامعة الملك سعود  |c 2013 
300 |a 145 - 162 
336 |a بحوث ومقالات  |b Article 
520 |b In this paper, the Harmony Search Algorithm (HSA) is proposed to tackle the Nurse Rostering Problem (NRP) using a dataset introduced in the First International Nurse Rostering Competition (INRC2010). NRP is a combinatorial optimization problem that is tackled by assigning a set of nurses with different skills and contracts to different types of shifts, over a predefined scheduling period. HSA is an approximation method which mimics the improvisation process that has been successfully applied for a wide range of optimization problems. It improvises the new harmony iteratively using three operators: memory consideration, random consideration, and pitch adjustment. Recently, HSA has been used for NRP, with promising results. This paper has made two major improvements to HSA for NRP: (i) replacing random selection with the Global-best selection of Particle Swarm Optimization in memory consideration operator to improve convergence speed. (ii) Establishing multi-pitch adjustment procedures to improve local exploitation. The result obtained by HSA is comparable with those produced by the five INRC 2010 winners’ methods. 
653 |a علوم الحاسوب  |a الخوارزميات 
692 |b Nurse Rostering  |b Harmony Search  |b Approximation Method  |b Population Based  |b Global Best 
700 |9 524506  |a Khader, Ahamad Tajudin  |e Co-Author 
700 |9 524507  |a Al-Betar, Mohammed Azmi  |e Co-Author 
700 |9 524509  |a Bolaji, Asaju La’aro  |e Co-Author 
773 |c 004  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 002  |m مج25, ع2  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 025  |x 1319-1578 
856 |u 0584-025-002-004.pdf 
930 |d y  |p y 
995 |a science 
999 |c 972925  |d 972925 

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