Search Results - (( problem shift scheduling algorithm ) OR ( java simulation optimization algorithm ))

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  1. 1

    Solving security staff scheduling by using genetic algorithm by Ang, Shin Yin

    Published 2021
    “…Therefore, in this research, a flexible shift scheduling is studied because the scheduling problem should be humanized to follow the trend. …”
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    Thesis
  2. 2

    Garbage truck staff duty roster using genetic algorithm / Nadea Suneeza Zulkifli by Zulkifli, Nadea Suneeza

    Published 2017
    “…In this research, is intended to address the specific problem of scheduling stafls on daily shifts lor the duration of a month schedule. …”
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    Thesis
  3. 3

    Heuristic Algorithm For Nurse Scheduling Problem by Wee, Sze Ming

    Published 2023
    “…The Nurse Scheduling Problem (NSP) deals with allocating the nurses' required shifts over a scheduling period while taking into consideration several restrictions. …”
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    Final Year Project Report / IMRAD
  4. 4

    Heuristic method for optimum shift scheduling design by Lee, Kong Weng, Sze, San Nah, Phang, Keat Keong

    Published 2017
    “…Based on the minimum manpower number and shift criteria’s, the shifts are then assigned to form schedules using our proposed algorithm.The potential schedules are then optimized.Our prototype running data from airline staff shows that the method used can solve the problem efficiently even for large problem instances in seconds.…”
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    Conference or Workshop Item
  5. 5

    Enhanced evolutionary algorithm with cuckoo search for nurse scheduling and rescheduling problem by Lim, Huai Tein

    Published 2015
    “…To address some of the issues, utilizing the existing nurses through an effective work schedule is the best alternative. However, there exists a problem of creating undesirable and non-stable nurse schedules for nurses' shift work. …”
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    Thesis
  6. 6

    Tasks Distribution In Driver Scheduling Using Dynamic Set Of Bandwidth In Harmony Search Algorithm With 2-Opt by Shaffiei, Zatul Alwani

    Published 2021
    “…This research was focused on driver scheduling problem for university shuttle bus (DSPUSB). …”
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  7. 7

    Modified Parameters of Harmony Search Algorithm for Better Searching by Nur Farraliza, Mansor, Abas, Z.A, Shibghatullah, A.S., Rahman, A.F.N.A

    Published 2017
    “…The scheduling and rostering problems are deliberated as integrated due to they depend on each other whereby the input of rostering problems is a scheduling problems. …”
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    Conference or Workshop Item
  8. 8

    Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

    Published 2017
    “…The proposed algorithm is evaluated using tasks scheduling in the scheduling load simulator and validated using statistical modeling. …”
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    Thesis
  9. 9

    Constrained Self-Adaptive Harmony Search Algorithm With 2-Opt Swapping For Driver Scheduling Problem Of University Shuttle Bus by Shaffiei, Zatul Alwani, Abal Abas, Zuraida, Md Yunos, Norhazwani, Amir Hamzah, Amir Syafiq Syamin Syah, Zainal Abidin, Zaheera, Chong, Kuan Eng

    Published 2019
    “…A constrained self-adaptive harmony search algorithm (CSAHS) with 2-opt swapping (CSAHS-2opt) for driver scheduling problem of university shuttle bus (DSPUSB) was proposed in this study. …”
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    Article
  10. 10

    Optimising police officer schedule at Ibu Pejabat Polis Daerah (IPD) Kuala Muda using goal programming / Nurul Atikah Abdull by Abdull, Nurul Atikah

    Published 2021
    “…But it is therefore suggested that a hybrid swarm-based optimisation algorithm and a few methods be used to solve scheduling problems instead of goal programming as they provide efficiency and flexibility on the generated schedules.…”
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    Student Project
  11. 11

    Enhancing harmony search parameters based on step and linear function for bus driver scheduling and rostering problems by Mansor, Nur Farraliza

    Published 2018
    “…Optimization is a major challenge in numerous practical world problems.According to the “No Free Lunch (NFL)” theorem,there is no existing single optimizer algorithm that is able to resolve all issues in an effective and efficient manner.It is varied and need to be solved according to the specific capabilities inherent to certain algorithms making it hard to foresee the algorithm that is best suited for each problem.As a result,the heuristic technique is adopted for this research as it has been identified as a potentially suitable algorithm.Alternative heuristic algorithms are also suggested to obtain optimal solutions with reasonable computational effort.However,the heuristic approach failed to produce a solution that nears optimum when the complexity of a problem increases;therefore a type of nature-inspired algorithm known as meta-euristics which utilises an intelligent searching mechanism over a population is considered and consequently used.The meta-heuristic approach is widely used to substitute heuristic terms and is broadly applied to address problems with regards to driver scheduling.However,this meta-heuristic technique is still unable to address the fairness issue in the scheduling and rostering problems.Hence,this research proposes a strategy to adopt an amendment of the harmony search algorithm in order to address the fairness issue which in turn will escalate the level of fairness in driver scheduling and rostering.The harmony search algorithm is classified as a meta-heuristics algorithm that is capable of solving hard and combinatorial or discrete optimisation problems.In this respect,the three main operators in harmony search,namely the Harmony Memory Consideration Rate (HMCR),Pitch Adjustment Rate (PAR) and Bandwidth (BW) play a vital role in balancing local exploitation and global exploration.These parameters influence the overall performance of the HS algorithm,and therefore it is crucial to fine-tune them. …”
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    Thesis
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    The use of heuristic ordering and particle swarm optimization for nurse scheduling problem by Mohd Rasip, Norhayati

    Published 2017
    “…The challenge of nurse scheduling is the substantial amount of time for assigning shifts to a set of nurses that involves a large set of constraints. …”
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    Thesis
  14. 14

    A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem by Ramli, Razamin, Abd Rahman, Rosshairy, Rohim, Nurdalila

    Published 2019
    “…Hence, this study focused on solving those issues arising in nurse rostering problems (NRPs) strategizing on a hybrid of Ant Colony Optimization (ACO) algorithm with a hill climbing technique. …”
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    Article
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    Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

    Published 2011
    “…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources. A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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    Thesis
  17. 17

    Hybrid dynamic scheduling model for flexible manufacturing system with machine availability and new job arrivals by Paslar, Shahla

    Published 2015
    “…The performance of the schedules as produced by the scheduling/rescheduling algorithms were investigated and compared. …”
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    Thesis
  18. 18

    Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

    Published 2012
    “…The proposed algorithm is known as the enhance ant colony optimization (EACO). …”
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    Monograph
  19. 19

    Multi-objective scheduling of MapReduce jobs in big data processing by Hashem, Ibrahim Abaker Targio, Anuar, Nor Badrul, Marjani, Mohsen, Gani, Abdullah, Sangaiah, Arun Kumar, Sakariyah, Adewole Kayode

    Published 2018
    “…The model consists of two objective functions, namely, (i) completion time and (ii) cost minimization. Second, a scheduling algorithm using earliest finish time scheduling that considers resource allocation and job scheduling in the cloud is proposed. …”
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    Article
  20. 20

    An improved fair nurse scheduling optimisation using particle swarm intelligent technique by Ramli, Mohamad Raziff

    Published 2015
    “…Common issues in nurse scheduling problem are the unfair of the working shifts between nurses and the shortages of nursing staffs combined with the uncertain nature of patient workloads. …”
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    Thesis