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|3 10.33948/0584-025-002-004
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|a eng
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|b السعودية
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100 |
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|9 524504
|a Awadallah, Mohammed A.
|e Author
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245 |
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|a Global Best Harmony Search With A New Pitch Adjustment Designed For Nurse Rostering
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|b جامعة الملك سعود
|c 2013
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|a 145 - 162
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|a بحوث ومقالات
|b Article
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|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.
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|a علوم الحاسوب
|a الخوارزميات
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692 |
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|b Nurse Rostering
|b Harmony Search
|b Approximation Method
|b Population Based
|b Global Best
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700 |
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|9 524506
|a Khader, Ahamad Tajudin
|e Co-Author
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700 |
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|9 524507
|a Al-Betar, Mohammed Azmi
|e Co-Author
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700 |
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|9 524509
|a Bolaji, Asaju La’aro
|e Co-Author
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773 |
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|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
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856 |
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|u 0584-025-002-004.pdf
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930 |
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|d y
|p y
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|a science
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999 |
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|c 972925
|d 972925
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