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Metaheuristic Simulation-based Production Planning for Energy Efficiency: A Case Study

Bernhard Heinzl, Wolfgang Kastner
2020 SNE Simulation Notes Europe  
Modern industrial production planning and control (PPC) systems are responsible for supporting planning decisions on how to optimally produce a given set of products while minimizing costs and retaining  ...  In this paper, we demonstrate the application of a General Variable Neighborhood Search (GVNS) metaheuristic on a case study of flow shop scheduling in an industrial bakery in different scenarios and study  ...  Energy demand for oven and freezer is controlled by a PI controller located inside the component.  ... 
doi:10.11128/ fatcat:x5sfyovssfeyfh5wlaxdr4qaxu

A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response

Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong, Qiuye Sun
2021 Complexity  
As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response (DR) not only guides users to participate in power market operations but also increases  ...  In order to solve the problem of rough feature engineering processing and low prediction accuracy, a short-term load forecasting model of LSTM neural network considering demand response is proposed.  ...  Demand response (DR) serves as important means to shift energy supply and uses across time to counter the indeterminate variations.  ... 
doi:10.1155/2021/5571539 fatcat:jax37abqznfqfdg5rpcaohgvk4

Market-based control mechanisms for electric power demand response

Anthony Papavasiliou, Haitham Hindi, Daniel Greene
2010 49th IEEE Conference on Decision and Control (CDC)  
We simulate the behavior of our proposed control mechanism for the case of demand response via room temperature control, and we demonstrate how a suboptimal control policy can have adverse impacts both  ...  We propose a settlement mechanism for optimally scheduling real time electricity consumption which is suitable for an automated demand response control system.  ...  ACKNOWLEDGMENT The authors would like to thank Shmuel Oren for his helpful comments and support of this research.  ... 
doi:10.1109/cdc.2010.5717572 dblp:conf/cdc/PapavasiliouHG10 fatcat:nwlgpfr5sbemtbbq456m2g5woi

Revenue Maximization through Cell Switching and Spectrum Leasing in 5G HetNets [article]

Attai Ibrahim Abubakar, Cihat Ozturk, Metin Ozturk, Michael S. Mollel, Syed Muhammad Asad, Naveed Ul Hassan, Sajjad Hussain, MuhammadAli Imran
2021 arXiv   pre-print
The performance evaluation reveals that the proposed method is very close to optimal exhaustive search method with a significant reduction in the computation complexity.  ...  Since the framework is implemented independently at each MBS, which is responsible for controlling all the SBSs under its coverage, the simulations are conducted for a single MBS with multiple SBSs for  ...  The proposed framework is implemented locally at each MBS since they are responsible for controlling the SBSs under their coverage.  ... 
arXiv:2108.11697v1 fatcat:bp5eunfgp5aldknm2kixlfoa7a

Metaheuristic Approach for Distributed Trajectory Planning for European Functional Airspace Blocks

Sameer Alam, Supatcha Chaimatanan, Daniel Delahaye, Eric Feron
2018 Journal of Air Transportation  
Planning (D-Side) is responsible for coordinating hand-os with surrounding sectors (5 to 20 Minute Timescale).  ...  While in Tactical planning (Sector Trac Planning) Sector Air Trac Controller Executive (R-Side) is responsible for managing aircraft through the use of radar (5 minutes interval) and Sector Air Trac Controller  ... 
doi:10.2514/1.d0078 fatcat:daload5ibbczhlwmif2t6le7hm

Optimizing Medical Enterprise's Operations Management considering Corporate Social Responsibility under Industry 5.0

Qian Zhang, Yuming Chen, Wanlong Lin, Yao Chen, Tingsong Wang
2021 Discrete Dynamics in Nature and Society  
An improved variable neighborhood tabu search (IVNTS) algorithm which combines the variable neighborhood tabu search (VNTS) algorithm and simulated annealing (SA) algorithm is designed to solve the model  ...  Corporate social responsibility (CSR) is the concrete practice of sustainable development at the enterprise level, emphasizing the human value in the production process.  ...  We combine the cooling process of SA with tabu criteria and variable neighborhood search (VNS) to design an IVNTS algorithm. e alternate search of multiple neighborhood structures can increase the search  ... 
doi:10.1155/2021/9298166 fatcat:kget6uw26nfbjpwimg44uxcdme

Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets

Attai Ibrahim Abubakar, Cihat Ozturk, Metin Ozturk, Michael S. Mollel, Syed Muhammad Asad, Naveed Ul Hassan, Sajjad Hussain, Muhammad Ali Imran
2022 IEEE Access  
In this regard, two spectrum demand scenarios are considered for the SN operator: delay tolerant (DT), for non-real time applications, and non-delay tolerant (NDT), for real time applications.  ...  to meet higher service demands.  ...  In addition, they also function in a decentralized manner, with the MBS responsible for controlling the operations of all the SBSs in each MC.  ... 
doi:10.1109/access.2022.3172280 fatcat:6nrvov3cu5givg75qcom2e45dy

Design and Application of Model-on-Demand Predictive Controller to a Semibatch Copolymerization Reactor

Su-Mi Hur, Myung-June Park, Hyun-Ku Rhee
2003 Industrial & Engineering Chemistry Research  
Through the open-loop test, the reaction temperature and free volume are shown to be an adequate choice for the elements of the regressor state vector in the data searching step.  ...  The MoD-PC is designed by combining the model-on-demand (MoD) framework with the conventional model predictive controller.  ...  Figure 1 presents the output responses for the constant inputs at various reaction temperatures.  ... 
doi:10.1021/ie020291f fatcat:n5qvnkaiifbydel7ubbkabbemq

Parallelizing Combinatorial Optimization Heuristics with GPUs

Mohammad Harun Rashid, Lixin Tao
2018 Advances in Science, Technology and Engineering Systems  
GPUs have become many core processors, multithreaded, highly parallel with high bandwidth memory and tremendous computational power due to the market demand for high definition and real time 3D graphics  ...  memory management, efficient parallelism control.  ...  The key components for the parallelism control are the heuristic for controlling threads and the efficient mappings of the neighborhood structures.  ... 
doi:10.25046/aj030635 fatcat:566v2rey2bgyhfrjqqjvdnpihq

Solving an one-dimensional cutting stock problem by simulated annealing and tabu search

Meghdad HMA Jahromi, Reza Tavakkoli-Moghaddam, Ahmad Makui, Abbas Shamsi
2012 Journal of Industrial Engineering International  
In this paper, two meta-heuristic algorithms, namely simulated annealing (SA) and tabu search (TS), are proposed and developed for this type of the complex and large-sized problem.  ...  Task of the internal loop controls the attaining balance in each temperature and updating temperature.  ...  The proposed meta-heuristic searches a solution with small deviations from the given demands while using the fixed number of different cutting patterns.  ... 
doi:10.1186/2251-712x-8-24 fatcat:46up5r6ddbctvbxnc6lkjvmnaa

Using simulated annealing for producing software architectures

Outi Räihä, Erkki Mäkinen, Timo Poranen
2009 Proceedings of the 11th annual conference companion on Genetic and evolutionary computation conference - GECCO '09  
A natural problem is to augment -if not replace -genetic algorithms with some other search method in the process of searching good architectures.  ...  We start from functional requirements given as a graph of functional responsibilities and consider two quality attributes, modifiability and efficiency.  ...  A responsibility dependency graph is given as input and architecture styles and design patterns are used as transformations when searching for a better solution in the neighborhood.  ... 
doi:10.1145/1570256.1570289 dblp:conf/gecco/RaihaMP09 fatcat:mprgfbqlrrfjhbkjuvbgzzzldy


Romit S. Beed, St. Xavier's College (Autonomous), Ankita Sarkar, Raya Sinha, Deboshruti Dasgupta
2020 Azerbaijan Journal of High Performance Computing  
tool for solving complex combinatorial optimization problems.  ...  The consequence is a non-linear programming model having a complex objective function, which is solved by using multiple neighborhood approaches using simulated annealing as simulated annealing is a useful  ...  Rather than just displaying the merchandising, a creative product arrangement on the shelves becomes quintessential to increasing the perceptibility, consumer responsiveness, and demand for the products  ... 
doi:10.32010/26166127.2020. fatcat:fqppxsrkhremhpi4g4lfwm5miq

A new model and a hyper-heuristic approach for two-dimensional shelf space allocation

Ruibin Bai, Tom van Woensel, Graham Kendall, Edmund K. Burke
2012 4OR  
We propose a multiple neighborhood approach which is a hybridization of a simulated annealing algorithm with a hyper-heuristic learning mechanism.  ...  This results in an integer nonlinear programming model with a complex form of objective function.  ...  search and adaptive large neighborhood search approaches.  ... 
doi:10.1007/s10288-012-0211-2 fatcat:v3zn3jv5x5akrniztqajltog7a

Novel Application of Fast Simulated Annealing Method in Brushless Motor Drive (BLMD) Dynamical Parameter Identification for Electric Vehicle Propulsion [chapter]

Richard A. Guinee
2021 Artificial Intelligence  
An accurate dynamical parameter identification strategy is an essential feature in the adaptive control of such BLMD-EV systems where sensorless current feedback is employed for reliable torque control  ...  This is used for comparison with the more accurate Fast Simulated Annealing/Diffusion (FSD) method, presented here, in terms of the returned parameter estimates.  ...  As the control temperature is reduced the volume of random search space is pruned, which is an attribute of the ffiffiffiffiffiffi 2T p term of the FSD equation in Eq. ( 17 ), in accordance with a temperature  ... 
doi:10.5772/intechopen.97370 fatcat:f5rhvundanckxnuzyrruid6zee

Understanding User Economic Behavior in the City Using Large-scale Geotagged and Crowdsourced Data

Yingjie Zhang, Beibei Li, Jason Hong
2016 Proceedings of the 25th International Conference on World Wide Web - WWW '16  
Our study demonstrates the potential of how to best make use of the large volumes and diverse sources of crowdsourced and geotagged user-generated data to create matrices to predict local economic demand  ...  Our study is instantiated on a unique dataset of restaurant bookings from OpenTable for 3,187 restaurants in New York City from November 2013 to March 2014.  ...  Price Endogeneity One challenge in estimating price effects on restaurant bookings is that restaurant owners may change their price in response to demand and consumers change their demand in response to  ... 
doi:10.1145/2872427.2883066 dblp:conf/www/ZhangLH16 fatcat:ckwqod7msjbidpq6laq4kwsj6y
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