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Model and Algorithm for Dynamic Multi-Objective Distributed Optimization
[chapter]
2013
Lecture Notes in Computer Science
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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
2018
International Journal of Emerging Technologies in Learning (iJET)
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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
2019
Journal of Physics, Conference Series
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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
2022
Sustainability
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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
2017
Energies
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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
2019
International Journal of Machine Learning and Cybernetics
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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
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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
2019
Applied Sciences
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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
2016
Journal of Magnetics
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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
2019
International Journal of Simulation Modelling
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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
2017
Journal of Intelligent Manufacturing
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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
2022
Mathematics
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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]
2012
Lecture Notes in Electrical Engineering
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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
2018
Chemical Engineering Transactions
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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]
2017
Lecture Notes in Electrical Engineering
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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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