Harmony Search Algorithm for Patient Admission Scheduling Problem

Doush, Iyad Abu; Al-Betar, Mohammed Azmi; Awadallah, Mohammed A.; Hammouri, Abdelaziz I.; Al-Khatib, Ra’ed M.; ElMustafa, Saba; Alkhraisat, Habes

doi:10.1515/jisys-2018-0094

Cited by 18 publications

(8 citation statements)

References 15 publications

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“…The SSA performance was assessed in this research through four testing systems (6,13,15,40) generating units.…”

Section: Resultsmentioning

confidence: 99%

“…The researcher interested in meta-heuristic techniques, especially in the last years, in many different areas that focus on many different issues, such as: scheduling problems [12][13][14][15][16], data classification [17], time series [18,19], data clustering [20,21], and global optimization [22]. Because of these methods, have multiple capabilities, the researchers concerned in depending them in developing solutions for the aim of resolving ELD.…”

Section: Meta-heuristic Algorithm For Eldmentioning

confidence: 99%

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A Swarm-based Algorithm for Solving Economic Load Dispatch Problem

Al-Manaseer¹,

Al-hamadeen²,

Hammouri³

2019

IJCA

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Economic Load Dispatch problem (ELD) is considered a NPhard combinatorial optimization problem. The function of (ELD) determines low price process regarding a power system through dispatching the power generation sources in order according to supply the load demand. In this paper, one of the most known electrical problems has been displayed by the (ELD). Various methods have been used to make the ELD solutions better, most well-known employing meta-heuristic algorithms. The aim of paper is to find the optimal or nearoptimal ELD fuel cost (fuel cost with the minimum cost) by involving a newly created meta-heuristic algorithm, mainly Salp Swarm Algorithm (SSA). Using four test systems generating datasets, the swarm intelligence (SI) has contributed in creating the notion of SSA to get the required value of the present approach. Moreover, it will be measured and contrasted with other similar types or with those of the same significant style that are available in the literature. Accordingly, the results make it clear that the SSA is able to represent the ELD problem and it able to obtain acceptable solutions.

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“…The SSA performance was assessed in this research through four testing systems (6,13,15,40) generating units.…”

Section: Resultsmentioning

confidence: 99%

Section: Meta-heuristic Algorithm For Eldmentioning

confidence: 99%

A Swarm-based Algorithm for Solving Economic Load Dispatch Problem

Al-Manaseer¹,

Al-hamadeen²,

Hammouri³

2019

IJCA

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“…The main purpose behind the scheduling method is in the reduction of the patient waiting time, and in the hospital resource utilization enhancement. Moreover, [31] tackled PASP using a population-based metaheurstic called harmony search algorithm. The method has been tested on 6 instances of data set 1 and compare with other metaheurstic approaches.…”

Section: Pasp-based Optimization Methodsmentioning

confidence: 99%

Healthcare scheduling in optimization context: a review

et al. 2021

Self Cite

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This paper offers a summary of the latest studies on healthcare scheduling problems including patients’ admission scheduling problem, nurse scheduling problem, operation room scheduling problem, surgery scheduling problem and other healthcare scheduling problems. The paper provides a comprehensive survey on healthcare scheduling focuses on the recent literature. The development of healthcare scheduling research plays a critical role in optimizing costs and improving the patient flow, providing prompt administration of treatment, and the optimal use of the resources provided and accessible in the hospitals. In the last decades, the healthcare scheduling methods that aim to automate the search for optimal resource management in hospitals by using metaheuristics methods have proliferated. However, the reported results are disintegrated since they solved every specific problem independently, given that there are many versions of problem definition and various data sets available for each of these problems. Therefore, this paper integrates the existing results by performing a comprehensive review and analyzing 190 articles based on four essential components in solving optimization problems: problem definition, formulations, data sets, and methods. This paper summarizes the latest healthcare scheduling problems focusing on patients’ admission scheduling problems, nurse scheduling problems, and operation room scheduling problems considering these are the most common issues found in the literature. Furthermore, this review aims to help researchers to highlight some development from the most recent papers and grasp the new trends for future directions.

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“…e simulated annealing algorithm (SA) was first proposed by Metropolis and was used by Kirkpatrick for combinatorial optimization. e starting point of the simulated annealing algorithm is to simulate the physical annealing process in nature and combine it with a mathematical iterative solution strategy, which can be used to solve optimization problems in various engineering projects [19]. To prevent the entire search process from falling into the local minimum closest to the initial point, the simulated annealing method determines the optimization process based on the Boltzmann probability distribution.…”

Section: Simulated Annealing Algorithm For Designmentioning

confidence: 99%

Optimization of Cultural and Creative Product Design Based on Simulated Annealing Algorithm

Meng

2021

Complexity

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This paper introduces the basic principle and application process of simulated annealing algorithm and improves the simulated annealing algorithm so that it can converge faster to get the new parameters of cultural and creative product design and make it more in line with the reality of engineering optimization. In the cultural creative industry, it is necessary to use the creatorʼs creativity and technology to derive and develop the original cultural resources with the help of various materialization means, to refine the abstract and profound contents of cultural resources to make them more visualized, and to produce products with both spiritual and economic values through the multiple development and utilization of their intellectual property contents. By studying the feasibility analysis of the cultural and creative design, the design positioning of the cultural and creative products is determined. In this article, we use the simulated annealing method to simulate and analyse the condition values in the design process of cultural creative products. As the Internet era progresses, people have more diversified requirements for cultural and creative products, and they need to have innovative ideas to follow the trend, so the design of cultural and creative products can spread culture through different design expressions and media. As one of the important pillar industries for future development, cultural and creative products are characterized by a wide range of styles and practicality, which meet the aesthetic needs and fashion trends of modern people.

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Harmony Search Algorithm for Patient Admission Scheduling Problem

Cited by 18 publications

References 15 publications

A Swarm-based Algorithm for Solving Economic Load Dispatch Problem

A Swarm-based Algorithm for Solving Economic Load Dispatch Problem

Healthcare scheduling in optimization context: a review

Optimization of Cultural and Creative Product Design Based on Simulated Annealing Algorithm

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