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What algorithms are used for staff scheduling software?

Fair-share scheduling

Deadline-monotonic scheduling

Nurse scheduling problem

Dynamic priority scheduling

Two-level scheduling

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Staff scheduling software utilizes various algorithms to optimize the allocation of personnel. Genetic Algorithms (GAs) have been successfully employed for this purpose, overcoming the limitations of classical GA paradigms by using indirect coding based on permutations and heuristic decoders . In the field of airport security services, a greedy algorithm and a global assignment algorithm are used for staff assignment, with an iterative time out destruction/construction algorithm for solution improvement . Healthcare staff scheduling, with its multiple conflicting objectives and constraints, benefits from a fuzzy-based genetic algorithm (FGA) that incorporates fuzzy set theory and decision maker preferences . Task scheduling in cloud computing systems is addressed by various algorithms categorized based on task scheduling metrics, aiming to enhance system performance . Metaheuristic techniques such as Genetic Algorithms, Ant Colony Optimization, and Firefly Algorithm are commonly used for job scheduling in parallel and distributed computing environments .

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Open access•Journal Article•DOI Comparative Analysis of Job Scheduling Algorithms in Parallel and Distributed Computing Environments Navjot Kaur, Amit Chhabra - Show less +1 more 30 Apr 2017-International Journal of Advanced Research in Computer Science 5 Citations	The provided paper does not discuss staff scheduling software algorithms. It focuses on job scheduling algorithms in parallel and distributed computing environments.
Open access A fuzzy genetic algorithm for healthcare staff scheduling Michael Mutingi, Charles Mbohwa - Show less +1 more 01 Jan 2013 3 Citations	The paper does not mention specific algorithms used for staff scheduling software. The paper focuses on the use of a fuzzy-based genetic algorithm (FGA) for healthcare staff scheduling.
Journal Article•DOI Staff scheduling in airport security service Anas Abdoul Soukour, Laure Brisoux Devendeville, Corinne Lucet, Aziz Moukrim - Show less +3 more 23 May 2012-IFAC Proceedings Volumes 5 Citations	The paper discusses two algorithms for staff scheduling in airport security service: a greedy algorithm and a global assignment algorithm.
Open access Staff Scheduling by a Genetic Algorithm Ahmad Reza Tahanian, Maryam Khaleghi - Show less +1 more 01 Jan 2013 7 Citations	The paper discusses the use of Genetic Algorithms for staff scheduling, specifically in a Petrochemical Company. No other algorithms are mentioned in the paper.

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What are the most effective algorithms for staff scheduling software?5 answersThe most effective algorithms for staff scheduling software include Genetic Algorithms (GA), Taboo Search, and metaheuristic techniques such as Ant Colony Optimization, Artificial Bee Colony, Cuckoo Search, Firefly Algorithm, and Bat Algorithm. GA has been successfully used for manpower-scheduling problems in a Petrochemical Company, providing high-quality solutions and being faster and more flexible than Taboo Search. In the field of airport security service, a greedy algorithm and a global assignment algorithm have been developed to provide initial solutions, which are then improved by an iterative time out destruction/construction algorithm. Metaheuristic techniques like GA, Ant Colony Optimization, and others have been used to schedule different categories of jobs in parallel and distributed computing environments. Additionally, a framework and algorithm have been integrated into workforce management software in Finland for modeling and solving workforce scheduling problems.

What algorithms are used in DNA sequencing?5 answersDNA sequencing utilizes various machine learning algorithms to analyze genetic information. These algorithms include SVM, CNN, LSTM, Random Forest Classifier, Adaboost, Naive Bayes, Multilayer Perceptron, XGB Classifier, and KNN. These techniques are applied to sequence DNA in human datasets, allowing researchers and doctors to identify genetic variants and mutations associated with specific disorders. By understanding a patient's unique genetic profile, drug makers can target specific subgroups of individuals with similar genetic makeup, leading to more precise and customized treatments. Additionally, string-matching algorithms are used to locate specific patterns within DNA sequences, addressing the challenges of pattern and text lengths in DNA matching. These algorithms play an integral role in the biomedical research process, aiding in the development of personalized medicine and improving treatment outcomes.

Is linear programming suitable for personnel scheduling?4 answersLinear programming is suitable for personnel scheduling. It can be used to optimize the scheduling of personnel with the same skills and minimize variable costs in hospitals. Linear programming models have been successfully applied to real-life personnel scheduling problems, including those arising during emergency scenarios such as the Covid-19 pandemic. These models have been shown to generate optimal schedules that are better than those generated by companies. Additionally, linear programming formulations based on state-expanded networks have been used to address personnel scheduling problems, although they may require heuristic approaches to reduce model size. Overall, linear programming is a valuable tool for personnel scheduling, offering the potential for cost reduction and improved scheduling outcomes.

What algorithms they ahve used in the existing work?5 answersAlgorithms used in the existing work include color constancy methods, a best first search technique, and search based software engineering techniques.

What are the different scheduling methods used in MES?1 answersManufacturing Execution Systems (MES) utilize various scheduling methods to optimize and upgrade production lines. One such method is the hybrid genetic algorithm, which combines the simulated annealing algorithm and genetic algorithm to select the optimal scheduling scheme. Another method involves determining and uploading current state information of robots, receiving second state information of other robots, obtaining local avoidance information, and carrying out avoidance based on virtual obstacle information. Additionally, a scheduling system includes a display that represents tasks as nodes positioned in rings associated with their deadlines. Furthermore, a scheduling method involves using high-layer signaling pre-configuration and multicast downlink control channel combination to schedule data transmission. Different methods and techniques, including analytical techniques and graphical methods, have been reviewed for effective use in job shop scheduling.

What is scheduling problem in cloud computing?7 answers

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