Hybrid Elitist-Ant System for Nurse-Rostering Problem

Jaradat, Ghaith M.; Al-Badareen, Anas Bassam; Ayob, Masri; Alsmadi, Mutasem K.; Almarashdeh, Ibrahim; Ash-Shuqran, Mahmoud; Al-Odat, Eyas

doi:10.1016/j.jksuci.2018.02.009

Cited by 25 publications

(26 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They could be external hardware, human users or other Live Love RecycleApplication, the application helps individuals get rid of some recyclable waste in exchange for certain points and allows them to specify the days and hours they want to get rid technological revolution influenced everything , even the methods of complaint management applications for the real world complaint management issues. Today, the use of Artificial Intelligence (AI) algorithms is expansive, particularly in providing challenging problems including patterns recognition and retrieval of information [27,33 image segmentation [12,13,23,[50][51][52][53][54][55], analysis of medical image [56 86], nurse rostering problem [87], Healthcare Monitoring system [26,88], as well as prediction of river flow [89][90][91]. Accordingly, many researchers have used the Artificial Intelligence as an effective tool for environment protection, sustainability and Smart process of system analysis aims to study an existing system to entirely design a new system.…”

Section: Use Case Diagrammentioning

confidence: 99%

“…Live Love Recycle Application interface [11].The technological revolution influenced everything [12 management applications for the real world complaint management issues. Today, the use of Artificial Intelligence (AI) algorithms is expansive, particularly in providing challenging problems including patterns recognition and retrieval of information[27,33 image segmentation[12,13,23,50 Management System, nurse rostering problem[87],Healthcar 88], as well as prediction of river flow[89 Artificial Intelligence as an effective tool for environment protection, sustainability and Smart Recycling[92][93][94][95].…”

mentioning

confidence: 99%

See 1 more Smart Citation

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

Al-Omairi¹,

WejdanHamadAlNasheri²,

Al-Qarni³

et al. 2019

IJSEA

View full text Add to dashboard Cite

Our society suffers a lot from the things that are thrown uselessly; these things may be beneficial to our society. On the other hand, communities suffer a lot of waste especially plastic waste; this has led to environmental pollution and depletion of natural resources. Therefore, this research aims to achieve sustainable development and achieve part of the Saudi Arabia vision 2030. Hence we have distributed a questionnaire to 88 responders, and based on the results of this study, which shows the importance of recycling and its impact on the environment and the extent of community interest in this subject and their supporters, The Let's Recycle site, based on the results of the questionnaire, will improve waste and plastics disposal in an environmentally positive manner.The proposed system was developed using the Unified Modelling Language (UML) and Microsoft Visual Studio2010 programming language.

show abstract

Section: Use Case Diagrammentioning

confidence: 99%

mentioning

confidence: 99%

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

Al-Omairi¹,

WejdanHamadAlNasheri²,

Al-Qarni³

et al. 2019

IJSEA

View full text Add to dashboard Cite

show abstract

“…In relation to this, hybridization between a population-based and other local search metaheuristics has been recommended in many studies (Blum and Roli, 2008;Talbi, 2009;Brownlee, 2011). Local search metaheuristics could overcome the shortcoming (in the population-based) of solution space exploitation by improving the quality of solution more (Jaradat et al, 2018). Also, to generate better performance of hybrid metaheuristics, the usage of an explicit memory such as the use of elite pool, control on search diversity and dynamically manipulating the population size are also recommended (Talbi, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering

Almarashdeh¹,

Jaradat²,

Ayob³

et al. 2018

Journal of Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Recently, several methods have been applied to solve NRP [6][7][8][9][10][11][12][13][14][15][16][17][18]. Jaradat et al [6] proposed the hybrid elitist-ant system algorithm. The proposed algorithm aims to increase the diversity of the search space in the elitist-ant system algorithm by integrating it with external memory.…”

Section: Introductionmentioning

confidence: 99%

A novel population-based local search for nurse rostering problem

Abuhamdah

Boulila

Jaradat

et al. 2021

IJECE

Self Cite

View full text Add to dashboard Cite

Population-based approaches regularly are better than single based (local search) approaches in exploring the search space. However, the drawback of population-based approaches is in exploiting the search space. Several hybrid approaches have proven their efficiency through different domains of optimization problems by incorporating and integrating the strength of population and local search approaches. Meanwhile, hybrid methods have a drawback of increasing the parameter tuning. Recently, population-based local search was proposed for a university course-timetabling problem with fewer parameters than existing approaches, the proposed approach proves its effectiveness. The proposed approach employs two operators to intensify and diversify the search space. The first operator is applied to a single solution, while the second is applied for all solutions. This paper aims to investigate the performance of population-based local search for the nurse rostering problem. The INRC2010 database with a dataset composed of 69 instances is used to test the performance of PB-LS. A comparison was made between the performance of PB-LS and other existing approaches in the literature. Results show good performances of proposed approach compared to other approaches, where population-based local search provided best results in 55 cases over 69 instances used in experiments.

show abstract

Hybrid Elitist-Ant System for Nurse-Rostering Problem

Cited by 25 publications

References 27 publications

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

Developing and Implementing a Web-Based Recycling System for Protecting the Green Environment

An Elite Pool-Based Big Bang-Big Crunch Metaheuristic for Data Clustering

A novel population-based local search for nurse rostering problem

Contact Info

Product

Resources

About