Multi-Objective Energy-Saving Job-Shop Scheduling Based on Improved NSGA-II

Huo, Dengya; Xiao, Xianghui; Pan, Ye

doi:10.2507/ijsimm19-3-co12

Cited by 14 publications

(14 citation statements)

References 24 publications

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“…When children are in the process of growth, the cultivation of balance ability is conducive to children's perception of uprightness, direction, and distance, which lays the foundation for children's spatial perception. Children's balance dysfunction can lead to unsteady standing, sitting still, restless, falling easily, and insecure, which seriously affects their interpersonal relationships and also affects their study and work, reducing their quality of life [18][19][20]. Many special children have body balance disorders.…”

Section: Role Of Education Cloud Integration In the Evaluation Ofmentioning

confidence: 99%

[Retracted] Design and Implementation of Balance Ability Assessment Training System for Special Children Based on Education Cloud Integration

Xing

Song

2022

Journal of Environmental and Public Health

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Many children with special needs have body balance disorders, which will not only bring inconvenience to their daily lives but also have a certain impact on their spirits, making them insecure. It will lead to a decline in their social skills, which will also seriously affect their study and work as well as reduce their quality of life. The purpose of this paper is to design and discuss a system for evaluating and training the balance ability of children with special needs based on the integration of education cloud. The balance ability evaluation module of the system performs a series of calculations on the projection coordinates of the center of gravity of the human body in various postures, and the obtained parameter values are the basis of the evaluation. This paper analyzes the role of education cloud integration in the evaluation of balance ability of special children, evaluates and trains the balance ability of special children, and verifies the feasibility of the balance ability evaluation and training system for special children. This study found that in a feasibility trial evaluating the balance ability of children with special needs, the balance stability of the tested children was improved, and the overall balance ability improved by 60%. The balance ability evaluation training system developed in this paper can effectively improve the independent standing ability of young children. Children over the age of 4 do not have any difficulties in understanding and mastering movements, and training difficulties for children are also applicable. At the same time, the results of these exercises also showed that this kind of exercise can help children maintain their balance.

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Section: Role Of Education Cloud Integration In the Evaluation Ofmentioning

confidence: 99%

[Retracted] Design and Implementation of Balance Ability Assessment Training System for Special Children Based on Education Cloud Integration

Xing

Song

2022

Journal of Environmental and Public Health

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“…Equations ( 1) and ( 2) are the objective functions. Equations ( 3), ( 4), ( 5) and ( 6) are four energy consumption expressions; constraint (7) specifies the range of the makespan. Constraints ( 8), ( 9) and (10) indicate that at any stage, each job has one and only one immediate front job (including the virtual job J0), at most one immediate back job, and they cannot be identical.…”

Section: A Problem Descriptionmentioning

confidence: 99%

“…Lu et al [6] constructed a mathematical model aiming at minimizing the makespan and energy consumption, mainly considering the influence of controllable operation times on the scheduling scheme. The work in [7] studied the job shop scheduling problem with the objective of minimizing the makespan, total carbon emission and total delay time, and designed the NSGA-II algorithm to solve the problem. Luo et al [8] proposed an ant colony algorithm to solve the distributed flow shop scheduling problem under time-of-use price.…”

Section: Introductionmentioning

confidence: 99%

Green Hybrid Flow Shop Scheduling Problem Considering Sequence Dependent Setup Times and Transportation Times

Shao-xing

Liu

2023

IEEE Access

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For the green hybrid flow shop scheduling problem considering sequence dependent setup times (SDST) and transportation times, a mixed integer programming model is established with the objectives of minimizing the maximum completion time (makespan) and total energy consumption simultaneously, and an improved memetic algorithm is proposed with the problem characteristics. First of all, an encoding method combining the jobs sequence code at the first stage with the machine allocation code is designed to ensure that the algorithm can search the entire solution space to the greatest extent; then, a mixed population initialization method is designed to improve the quality of the initial population solution; Thirdly, the crossover and mutation operators, and four neighborhood search strategies are designed to balance the global search and local search capabilities of the algorithm; Finally, the effectiveness of the algorithm is verified by numerical experiments.

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“…e growing market demand for green products brings about multifaceted challenges and pressures to green producers and sellers: expediting the delivery, reducing the cost, improving the quality, and ensuring the timeliness of distribution [1][2][3][4][5]. It is impossible to cope with these through the resource optimization and integration by a single producer or seller.…”

Section: Introductionmentioning

confidence: 99%

“…Under the rapid changes of the market, brand-new supply chain management ideas are needed to deliver satisfactory products to consumers at minimum cost and fastest speed from the angle of green supply chain management and construct a logistics network based on supply chain. (2) In the management environment of green supply chain, the optimization of logistics network usually focuses on the logistics facility sites and distribution paths. It is particularly important to build a suitable optimization model.…”

Section: Introductionmentioning

confidence: 99%

A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network

Guan

Aamir

Dayo

et al. 2021

Discrete Dynamics in Nature and Society

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A well-established distribution network is fundamental to the sound management of the green supply chain. To adapt to the market demand and policies for green products, it is urgent to build an efficient and rational logistic distribution network for the green supply chain. Many researchers have tried to design distribution networks through the coordinated optimization of the green supply chain, in the light of realistic situation. However, there are very few optimization models that consider all kinds of influencing factors. To solve the problem, this paper attempts to establish a coordinated optimization model of the complex system of the green supply chain distribution network (GSCDN). Firstly, the authors plotted the structure and game logic of the GSCDN and defined the upper limit of sales induced by the limited production capacity of producers. Secondly, the coordinated optimization conditions were configured for the distributor layer, producer layer, and market demand layer, and a coordinated optimization model was set up for the complex system. Finally, the contractual coordinated optimization mechanism was detailed for the complex system under the profit-sharing contract. The proposed model and solving algorithm were proved valid through experiments.

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Multi-Objective Energy-Saving Job-Shop Scheduling Based on Improved NSGA-II

Cited by 14 publications

References 24 publications

[Retracted] Design and Implementation of Balance Ability Assessment Training System for Special Children Based on Education Cloud Integration

[Retracted] Design and Implementation of Balance Ability Assessment Training System for Special Children Based on Education Cloud Integration

Green Hybrid Flow Shop Scheduling Problem Considering Sequence Dependent Setup Times and Transportation Times

A Coordinated Optimization Model of the Complex System of the Green Supply Chain Distribution Network

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