316,103 Hits in 17.4 sec

Model and Algorithm for Dynamic Multi-Objective Distributed Optimization [chapter]

Maxime Clement, Tenda Okimoto, Tony Ribeiro, Katsumi Inoue
2013 Lecture Notes in Computer Science  
In this paper, we formalize the Dynamic Multi-Objective Distributed Constraint Optimization Problem (DMO-DCOP) and introduce the first algorithm called DMOBB to handle changes in the number of objectives  ...  More complex problems including several criteria can be represented as a Multi-Objective Distributed Constraint Optimization Problem (MO-DCOP) where the goal is to optimize several criteria at the same  ...  Table 1 Dynamic Multi-Objective Distributed Constraint Optimization Problem In this section, we formalize a Dynamic Multi-Objective Distributed Constraint Optimization Problem (DMO-DCOP).  ... 
doi:10.1007/978-3-642-44927-7_29 fatcat:zshdxrpckzf5tkca4smfmw2khu

Multi-objective Optimization Algorithm for Multimedia English Teaching (MOAMET) Based on Computer Network Traffic Prediction Model

Wei Wei Feng
2018 International Journal of Emerging Technologies in Learning (iJET)  
In order to solve the problem of multi-objective optimization for multimedia English teaching, this paper proposes a multi-objective optimization algorithm for multimedia English teaching (MOAMET) based  ...  This algorithm establishes time series for individuals correlated to same reference points, and for such time series through computer network traffic model optimizes multimedia English teaching objectives  ...  Multi-objective optimal solution set and multi-objective optimal frontier do not change with time. 3 Multi-objective optimization algorithm for multimedia English teaching Multimedia English teaching  ... 
doi:10.3991/ijet.v13i03.8372 fatcat:mdi37eznibbfppd5cfiwdwkgoa

Review on Model and Algorithms of the Post-Disaster Relief Distribution Problem

Siyang Yin, Lijing Du, Yinfeng Xia, Zheng Ye
2019 Journal of Physics, Conference Series  
This paper reviews on the model and algorithm of relief distribution in emergency logistics.  ...  Finally, we draw a conclusion of emergency logistics and propose a new study direction of relief distribution in the future research.  ...  Additionally, Yawen Zhou et al (2017) [8] designed a multi-objective optimization model for multi-period dynamic ERS problems with the uncertainty in the roadway availability and it aimed to minimize  ... 
doi:10.1088/1742-6596/1302/2/022003 fatcat:bpnbgok7sjetjmxnxjedfxfnou

Optimization of Urban Distribution Centres: A Multi-Stage Dynamic Location Approach

Liying Yan, Manel Grifoll, Hongxiang Feng, Pengjun Zheng, Chunliang Zhou
2022 Sustainability  
To reduce the difficulty of solving the dynamic location model, first, we determined the optimal site selection and allocation strategy for each stage.  ...  In addition, a multi-stage dynamic location model is established by introducing the transfer cost between adjacent stages.  ...  Acknowledgments: The authors would like to thank the anonymous reviewers for their helpful and  ... 
doi:10.3390/su14074135 fatcat:fbrurhp46bhzrf3dtyw7b5j6sa

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Syed Kazmi, Muhammad Shahzad, Dong Shin
2017 Energies  
Keywords: active distribution network (ADN); distributed generation (DG); distributed energy resources (DERs); distribution network planning (DP); multi-objective optimization (MOO); multi-criteria decision  ...  Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints.  ...  review in the field of multi-objective planning focusing on four planning techniques.  ... 
doi:10.3390/en10020208 fatcat:7lletw53lvg2jlkwffwsmmscwu

Special issue on evolutionary multi-objective optimization (EMO): theory and applications

Zhihua Cui, Xiao-Zhi Gao
2019 International Journal of Machine Learning and Cybernetics  
In the paper, 'Evolutionary dynamic multi-objective optimization algorithm based on Borda count method', Maysam-Orouskhani, Mohammad Teshnehlab, and Mohammad Ali Nekoui propose a novel dynamic multi-objective  ...  It is difficult to maintain the balance between convergence and diversity for Many-objective Optimization Problems (MaOPs) in the EMO algorithms, which are useful technologies to solve the Multi-objective  ...  In the paper, 'Evolutionary dynamic multi-objective optimization algorithm based on Borda count method', Maysam-Orouskhani, Mohammad Teshnehlab, and Mohammad Ali Nekoui propose a novel dynamic multi-objective  ... 
doi:10.1007/s13042-019-00971-0 fatcat:wkclf5ahzvciblkeijd47qfxfi

Multi-Objective Optimization of Distributed Generation Despite Energy Storage Systems for Optimal Management

2022 International journal of engineering and innovative research  
In order to solve the multi-objective optimization problem in this study, a combination of particle social algorithms and frog mutation has been used.  ...  In order to simultaneously optimize the reliability index and other objective functions, another optimal design for the production of distributed generation units, charging and discharging of energy storage  ...  The following is a step-by-step hybrid algorithm for solving the multi-objective optimization problem: 1.  ... 
doi:10.47933/ijeir.1028326 fatcat:zaqunzg54jb4nfp3tsvlbakgge

Energy Management in Microgrids with Renewable Energy Sources: A Literature Review

Yimy E. García Vera, Rodolfo Dufo-López, José L. Bernal-Agustín
2019 Applied Sciences  
Finally, future directions on predictive modeling mainly for energy storage systems are also proposed.  ...  the distributed generation centers, which implies that they need to be managed optimally.  ...  Multi-objective [53] Evolutionary algorithm (EA) and the particle swarm optimization (PSO) Algorithm Application of an energy hub model for optimization of a multicarrier MG.  ... 
doi:10.3390/app9183854 fatcat:i3kkxrvxkzfkrikaylmdrbizpi

Optimization Design for Dynamic Characters of Electromagnetic Apparatus Based on Niche Sorting Multi-objective Particle Swarm Algorithm

Le Xu, Jiaxin You, Haidan Yu, Huimin Liang
2016 Journal of Magnetics  
Besides, by means of the improved multi-objective particle swarm optimization algorithm, this paper processed the model and obtained a series of optimized parameters (decision variables).  ...  Aiming at shortcomings in the closing bounce and slow breaking velocity of electromagnetic apparatus, the multi-objective optimization model was established on the basis of the traditional optimization  ...  Acknowledgments Authors express their thanks to the support of NSFC (National Natural Science Foundation of China) Project 51407041, 51507033 and China Postdoctor Science Foundation 2016M591530.  ... 
doi:10.4283/jmag.2016.21.4.660 fatcat:4fm2qm3qkre33jb2r47ibqbday

Scheduling Optimization of Cloud Resource Supply Chain through Multi-Objective Particle Swarm Optimization

H. Jiang, C. Y. Liu
2019 International Journal of Simulation Modelling  
multi-objective optimization approach, in which the fitness of the FCE coefficient is taken as that of the multi-objective PSO to guide the algorithm evolution.  ...  Considering supply chain scheduling optimization as a multi-objective optimization problem, this paper combines the fuzzy correlation entropy (FCE) and particle swarm optimization (PSO) into an FCE-based  ...  Patel [8] proposed a three-objective scheduling optimization model for networked resources, and solved it by genetic algorithm based on objective weight. Laili et al.  ... 
doi:10.2507/ijsimm18(1)co3 fatcat:eumex3zn45fwdldawomcfnuvbe

Review of job shop scheduling research and its new perspectives under Industry 4.0

Jian Zhang, Guofu Ding, Yisheng Zou, Shengfeng Qin, Jianlin Fu
2017 Journal of Intelligent Manufacturing  
The scheduling research needs to shift its focus to smart distributed scheduling modeling and optimization.  ...  in SDS and (2) what are new methods and techniques required for SDS.  ...  for scheduling are divided into two kinds, which are mono/multi-objective algorithms and distributed optimization algorithms.  ... 
doi:10.1007/s10845-017-1350-2 fatcat:wsvrdighqfg4de3gamrqs46y2u

Dynamic Uncertainty Study of Multi-Center Location and Route Optimization for Medicine Logistics Company

Zhiyuan Yuan, Jie Gao
2022 Mathematics  
On this basis, a multi-center location- and route-optimization model for a medicine logistics company under dynamic uncertainty is constructed.  ...  Finally, the model and the algorithm are verified through multi-enterprise, multi-category, high-volume, high-efficiency, and nationwide centralized medicine distribution cases, and various combinations  ...  The multi-center location-and route-optimization model for a medicine logistics company under dynamic uncertainty is constructed.  ... 
doi:10.3390/math10060953 fatcat:burs5fy6fnaq5ab4ipdxu7ixk4

Dynamic Multi-objective Optimization Algorithm Based on GEP and Virus Evolution [chapter]

Weihong Wang, Yanye Du, Qu Li, Zhaolin Fang
2012 Lecture Notes in Electrical Engineering  
Dynamic Multi-objective Optimization (DMO) is very popular nowadays. A new algorithm for DMO called Virus-GEP Dynamic based on Gene Expression Programming (GEP) and virus evolution is proposed.  ...  Experiments on two test problems have shown that the algorithm has better performance on convergence, diversity and the breadth of the distribution.  ...  and Technology of Zhejiang Province under grant 2009C31108.  ... 
doi:10.1007/978-1-4614-2185-6_25 fatcat:zy3iyirzu5dc7a4j4wntiazuji

A Mathematical Model of Urban Hazardous Chemicals Logistics Distribution Route Decision Based on Improved Genetic Algorithm

Ning Li
2018 Chemical Engineering Transactions  
In addition, this study also verifies the scientificity and rationality of the multi-objective optimization model for logistics distribution route through the specified example.  ...  To this end, based on improved genetic algorithm, this paper conducts the time window processing and multi-objective processing to solve the model and then builds one multi-objective logistics distribution  ...  genetic algorithm, the time window processing and multi-objective optimization processing were conducted to obtained the multi-objective optimization model for the distribution route of hazardous chemicals  ... 
doi:10.3303/cet1871081 doaj:ea095990ffb8498e9a8edccf15825039 fatcat:xjlsq2bvy5hs5p7cciqhpoa66y

Survey on Models and Methodology for Emergency Relief and Staff Scheduling [chapter]

Bhupesh Kumar Mishra, Thepparit Sinthamrongruk, Zeeshan Pervez, Keshav Dahal
2017 Lecture Notes in Electrical Engineering  
Issues like finding appropriate locations and establishing them in appropriate group, discovering effective path for routing and making efficient plan for distribution and servicing are major challenges  ...  for these two and related scheduling cases.  ...  Ray et al. [58] illustrated evolutionary algorithm for multi objective optimization where as Ngatchou et al. [59] applied pareto multi objective optimization.  ... 
doi:10.1007/978-3-319-52171-8_1 fatcat:myay3hgpevf7niclbqug4w76pm
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