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Relevant bibliographies by topics / Hybrid ga-vns

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Academic literature on the topic 'Hybrid ga-vns'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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Journal articles on the topic "Hybrid ga-vns"

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Fauziyah, Aprilia Nur, and Wayan Firdaus Mahmudy. "Hybrid Genetic Algorithm for Optimization of Food Composition on Hypertensive Patient." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4673–83. https://doi.org/10.11591/ijece.v8i6.pp4673-4683.

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The healthy food with attention of salt degree is one of the efforts for healthy living of hypertensive patient. The effort is important for reducing the probability of hypertension change to be dangerous disease. In this study, the food composition is build with attention nutrition amount, salt degree, and minimum cost. The proposed method is hybrid method of Genetic Algorithm (GA) and Variable Neighborhood Search (VNS). The three scenarios of hybrid GA-VNS types had been developed in this study. Although hybrid GA and VNS take more time than pure GA or pure VNS but the proposed method give b

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Fauziyah, Aprilia Nur, and Wayan Firdaus Mahmudy. "Hybrid Genetic Algorithm for Optimization of Food Composition on Hypertensive Patient." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4673. http://dx.doi.org/10.11591/ijece.v8i6.pp4673-4683.

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Abstract:

The healthy food with attention of salt degree is one of the efforts for healthy living of hypertensive patient. The effort is important for reducing the probability of hypertension change to be dangerous disease. In this study, the food composition is build with attention nutrition amount, salt degree, and minimum cost. The proposed method is hybrid method of Genetic Algorithm (GA) and Variable Neighborhood Search (VNS). The three scenarios of hybrid GA-VNS types had been developed in this study. Although hybrid GA and VNS take more time than pure GA or pure VNS but the proposed method give b

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3

Meng, Leilei, Weiyao Cheng, Biao Zhang, Wenqiang Zou, and Peng Duan. "A novel hybrid algorithm of genetic algorithm, variable neighborhood search and constraint programming for distributed flexible job shop scheduling problem." International Journal of Industrial Engineering Computations 15, no. 3 (2024): 813–32. http://dx.doi.org/10.5267/j.ijiec.2024.3.001.

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With a decentral and global economy, distributed scheduling problems are getting a lot of attention. This paper addresses a distributed flexible job shop scheduling problem (DFJSP) with minimizing makespan, in which three subproblems, namely operations sequencing, factory selection and machine selection must be determined. To solve the DFJSP, a novel mixed-integer linear programming (MILP) model is first developed, which can solve the small-scaled instances to optimality. Since the NP-hard characteristic of DFJSP, a hybrid algorithm (GA-VNS-CP) of genetic algorithm (GA), variable neighborhood

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Rikatsih, Nindynar, Wayan Firdaus Mahmudy, and Syafrial Syafrial. "Hybrid Real-Coded Genetic Algorithm and Variable Neighborhood Search for Optimization of Product Storage." Journal of Information Technology and Computer Science 4, no. 2 (2019): 166. http://dx.doi.org/10.25126/jitecs.201942111.

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Agricultural product storage has a problem that need to be noticedbecause it has an impact in gaining the profit according to the number ofproducts and the capacity of storage. Inappropriate combination of productcauses high expenses and low profit. To solve the problem, we propose geneticalgorithm (GA) as the optimization method. Although GA is good enough tosolve the problem, GA not always gives an optimum result in complex searchspaces because it is easy to be trapped in local optimum. Therefore, we presenta hybrid real-coded genetic algorithm and Variable Neighborhood Search(HRCGA-VNS) to

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Fadah, Isti, Anis Elliyana, Yudha Alif Auliya, Yustri Baihaqi, Muhammad Haidar, and Dhea Milinia Sefira. "A Hybrid Genetic-Variable Neighborhood Algorithm for Optimization of Rice Seed Distribution Cost." Mathematical Modelling of Engineering Problems 9, no. 1 (2022): 36–42. http://dx.doi.org/10.18280/mmep.090105.

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Companies engaged in agro-industry, such as rice seed companies, depend on an efficient distribution process because of the characteristics of rice seed products that are easily damaged and do not last long. The distribution and delivery of goods from the production plant to reach consumers must go through several local distributors in several areas (multi-level) such as distributor centers, retailers, and agents spread across several cities in East Java Province. Determining the distribution network will be more complex when a company produces more than one type of product (multiproduct). Bas

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Molla-Alizadeh-Zavardehi, S., R. Tavakkoli-Moghaddam, and F. Hosseinzadeh Lotfi. "Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/214615.

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This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in the presence of fuzzy due date. In this paper, first a fuzzy mixed integer linear programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the advantages of genetic algorithm (GA), variable neighborhood search (VNS), and simulated annealing (SA) frameworks. Besides, we propose three fuzzy earliest due date heuristics to solve the given problem

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Li, Jun-Qing, Quan-Ke Pan, and Sheng-Xian Xie. "A hybrid variable neighborhood search algorithm for solving multi-objective flexible job shop problems." Computer Science and Information Systems 7, no. 4 (2010): 907–30. http://dx.doi.org/10.2298/csis090608017l.

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In this paper, we propose a novel hybrid variable neighborhood search algorithm combining with the genetic algorithm (VNS+GA) for solving the multi-objective flexible job shop scheduling problems (FJSPs) to minimize the makespan, the total workload of all machines, and the workload of the busiest machine. Firstly, a mix of two machine assignment rules and two operation sequencing rules are developed to create high quality initial solutions. Secondly, two adaptive mutation rules are used in the hybrid algorithm to produce effective perturbations in machine assignment component. Thirdly, a speed

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Joshi, Kanchan, Karuna Jain, and Vijay Bilolikar. "A VNS-GA-based hybrid metaheuristics for resource constrained project scheduling problem." International Journal of Operational Research 27, no. 3 (2016): 437. http://dx.doi.org/10.1504/ijor.2016.078938.

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Jain, Karuna, Vijay Bilolikar, and Kanchan Joshi. "A VNS-GA-based hybrid metaheuristics for resource constrained project scheduling problem." International Journal of Operational Research 27, no. 3 (2016): 437. http://dx.doi.org/10.1504/ijor.2016.10000141.

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Maghfiroh, Meilinda Fitriani Nur. "Solving Multi-Objective Paired Single Row Facility Layout Problem Using Hybrid Variable Neighborhood Search." Jurnal Teknik Industri 23, no. 2 (2021): 171–82. http://dx.doi.org/10.9744/jti.23.2.171-182.

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The footwear industry is distinguished by its manual assembly line and a high proportion of shared workstation configuration. This study focuses on a subset of the single row facility layout problem known as the paired single row facility layout problem. As one of type of single-row facility layout, the paired single row facility layout problem cannot be solved quickly. Further, different objectives also need to be considered in the decision-making process. Therefore, multi-objective approaches are proposed to minimize the penalty of material handler usage while maximizing the adjacency functi

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Book chapters on the topic "Hybrid ga-vns"

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Zhang, Zebin, Zhifeng Hao, and Han Huang. "Hybrid Swarm-Based Optimization Algorithm of GA & VNS for Nurse Scheduling Problem." In Information Computing and Applications. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25255-6_48.

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Niroomand, Sadegh, Ali Mahmoodirad, and Saber Molla-Alizadeh-Zavardehi. "Single Batch-Processing Machine Scheduling Problem with Fuzzy Due-Dates." In Handbook of Research on Modern Optimization Algorithms and Applications in Engineering and Economics. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9644-0.ch028.

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This paper focuses on a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in existence of fuzzy due date. In this paper, first a fuzzy mixed integer linear programming model is developed. Then, due to the complexity of the problem, which is NP-hard, we design two hybrid metaheuristics called GA-VNS and VNS-SA applying the advantages of genetic algorithm (GA), variable neighborhood search (VNS) and simulated annealing (SA) frameworks. Besides, we propose three fuzzy earliest due date heuristics to solve the given problem. Th

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Taleizadeh, Ata Allah, and Leopoldo Eduardo Cárdenas-Barrón. "Hybrid Metaheuristics Algorithms for Inventory Management Problems." In Meta-Heuristics Optimization Algorithms in Engineering, Business, Economics, and Finance. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2086-5.ch011.

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The hybrid metaheuristics algorithms (HMHAs) have gained a considerable attention for their capability to solve difficult problems in different fields of science. This chapter introduces some applications of HMHAs in solving inventory theory problems. Three basic inventory problems, joint replenishment EOQ problem, newsboy problem, and stochastic review problem, in certain and uncertain environments such as stochastic, rough, and fuzzy environments with six different applications, are considered. Several HMHAs such as genetic algorithm (GA), simulated annealing (SA), particle swarm optimizatio

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Conference papers on the topic "Hybrid ga-vns"

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Cendani, Givsy Mea, Sapti Wahyuningsih, and Mohamad Yasin. "Study of VNS-GA hybrid algorithm on VRPSDP and its implementation." In THE 3RD INTERNATIONAL CONFERENCE ON MATHEMATICS AND ITS APPLICATIONS (ICOMATHAPP) 2022: The Latest Trends and Opportunities of Research on Mathematics and Mathematics Education. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0194421.

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