Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems

Ghasemi, Amir; Ashoori, Amir; Heavey, Cathal

doi:10.1016/j.asoc.2021.107309

Cited by 44 publications

(32 citation statements)

References 39 publications

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“…We use RSA to provide optimal parameters for machine learning models in privacy-preserving and social networks in practical applications. Furthermore, the proposed LICRSA algorithm may also have excellent application potency in solving other complex optimization problems, such as shop scheduling problems [70], optimal degree reduction [71], image segmentation [72], shape optimization [73], and feature selection [74], etc.…”

Section: Discussionmentioning

confidence: 99%

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

et al. 2022

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In this paper, we propose a reptile search algorithm based on Lévy flight and interactive crossover strategy (LICRSA), and the improved algorithm is employed to improve the problems of poor convergence accuracy and slow iteration speed of the reptile search algorithm. First, the proposed algorithm increases the variety and flexibility of the people by introducing the Lévy flight strategy to prevent premature convergence and improve the robustness of the population. Secondly, an iteration-based interactive crossover strategy is proposed, inspired by the crossover operator and the difference operator. This strategy is applied to the reptile search algorithm (RSA), and the convergence accuracy of the algorithm is significantly improved. Finally, the improved algorithm is extensively tested using 2 test sets: 23 benchmark test functions and 10 CEC2020 functions, and 5 complex mechanical engineering optimization problems. The numerical results show that LICRSA outperforms RSA in 15 (65%) and 10 (100%) of the 2 test sets, respectively. In addition, LICRSA performs best in 10 (43%) and 4 (40%) among all algorithms. Meanwhile, the enhanced algorithm shows superiority and stability in handling engineering optimization.

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Section: Discussionmentioning

confidence: 99%

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

et al. 2022

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“…The first is establishing a modern evaluation view, we should take the evaluation given by students seriously, so that teachers could get the real information and improve the teaching quality [32,33]. The second is establishing a complete and scientific college music education evaluation system, and the teacher's self-evaluation, the student evaluation, and the expert evaluation should all be included in the structure of this system [34,35]. The third is establishing a reasonable and scientific EIS with reasonable index weight values, comprehensive indexes, operable evaluation standards, sound online teaching evaluation platform, and complete feedback and tracking mechanism.…”

Section: Countermeasuresmentioning

confidence: 99%

Design and Construction of a PBL Based Evaluation Index System for Classroom Music Education

Huang

Zhang

2021

Int. J. Emerg. Technol. Learn.

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The quality of classroom education is essential to the construction and development of departments and colleges, and a mirror of the teaching level and quality of teachers. Project-based learning (PBL) tries to create problem scenarios for learners, and encourage them to think deeper and communicate more. Inspired by PBL, this paper analyzes the existing evaluation index systems (EISs) for classroom music education in colleges, and summarizes the application of PBL in music teaching. Besides, a novel EIS is designed and constructed for classroom music education. The results show that: PBL stresses the changes of learners through the learning, and enables teachers to combine pre-, in-, and post-class methods to comprehensively evaluate the music literacy of students; PBL exerts a positive effect on students’ learning. The results lay a theoretical basis for reforming the EIS of classroom music education.

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“…Ghasemi et. al [ 10 ] present an Evolutionary Learning Based Simulation Optimization (ELBSO) method embedded within Ordinal Optimization. In ELBSO a Machine Learning (ML) based simulation metamodel is created using Genetic Programming (GP) to replace simulation experiments aimed at reducing computation; ELBSO is evaluated on a Stochastic Job Shop Scheduling Problem (SJSSP).…”

Section: Literature Reviewmentioning

confidence: 99%

Production planning of a furniture manufacturing company with random demand and production capacity using stochastic programming

2021

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In this article two multi-stage stochastic linear programming models are developed, one applying the stochastic programming solver integrated by Lingo 17.0 optimization software that utilizes an approximation using an identical conditional sampling and Latin-hyper-square techniques to reduce the sample variance, associating the probability distributions to normal distributions with defined mean and standard deviation; and a second proposed model with a discrete distribution with 3 values and their respective probabilities of occurrence. In both cases, a scenario tree is generated. The models developed are applied to an aggregate production plan (APP) for a furniture manufacturing company located in the state of Hidalgo, Mexico, which has important clients throughout the country. Production capacity and demand are defined as random variables of the model. The main purpose of this research is to determine a feasible solution to the aggregate production plan in a reasonable computational time. The developed models were compared and analyzed. Moreover, this work was complemented with a sensitivity analysis; varying the percentage of service level, also, varying the stochastic parameters (mean and standard deviation) to test how these variations impact in the solution and decision variables.

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Evolutionary Learning Based Simulation Optimization for Stochastic Job Shop Scheduling Problems

Cited by 44 publications

References 39 publications

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

An Improved Reptile Search Algorithm Based on Lévy Flight and Interactive Crossover Strategy to Engineering Application

Design and Construction of a PBL Based Evaluation Index System for Classroom Music Education

Production planning of a furniture manufacturing company with random demand and production capacity using stochastic programming

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