Results 71 to 80 of about 26,837 (219)
Energy Internet, EarlyView.ABSTRACT Extreme icing disasters increasingly undermine the reliability of integrated power and heat networks by causing line outages, supply shortages and sharp thermal load fluctuations. To address these challenges, this paper proposes a comprehensive optimisation framework that exploits the spatiotemporal flexibility of data centres for coordinated ...
Yan Wang +6 more
wiley +1 more source
Acta Scientiarum: Technology, 2014 Current research addresses the Permutation Flow Shop scheduling problem, characterized as Production Scheduling in Batch Process (PSBP) to minimize total time to complete the schedule (Makespan).
Rony Peterson da Rocha +3 more
doaj +1 more source
A note on QUBO instances defined on Chimera graphs [PDF]
, 2013 McGeoch and Wang (2013) recently obtained optimal or near-optimal solutions to some quadratic unconstrained boolean optimization (QUBO) problem instances using a 439 qubit D-Wave Two quantum computing system in much less time than with the IBM ILOG CPLEX
Dash, Sanjeeb
core
Sub‐optimal Internet of Thing devices deployment using branch and bound method
IET Networks, EarlyView.The main contributions of this paper are (1) IoT network deployment problem formation as MILP problem to optimise the transmission among network nodes, and (2) New BB method with a machine learning function to reduce the computational complexity. Abstract The Internet of Thing (IoT) network deployments are widely investigated in 4G and 5G systems and ...
Haesik Kim
wiley +1 more source
Journal of Advanced Transportation, 2018 In urban rail transit systems, train scheduling plays an important role in improving the transport capacity to alleviate the urban traffic pressure of huge passenger demand and reducing the operation costs for operators.
Miao Zhang +4 more
doaj +1 more source
CoRRLeveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension. Then, they solve the reduced problem to obtain the final solutions.
Haoyang Liu 0002 +7 more
openaire +3 more sources
International Transactions in Operational Research, EarlyView.Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
Robust Model Predictive Control for Signal Temporal Logic Synthesis [PDF]
, 2015 Most automated systems operate in uncertain or adversarial conditions, and have to be capable of reliably reacting to changes in the environment. The focus of this paper is on automatically synthesizing reactive controllers for cyber-physical systems ...
Farahani, Samira S. +2 more
core
International Transactions in Operational Research, EarlyView.Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source
Development mathematics model production planning of urea fertilizer to minimize production cost with mixed integer linear programming (MILP) [PDF]
AIP Conference Proceedings, 2019 Food is a necessity that must be met at all times. As it is known that fertilizer is one of the main factors in the success of food security in Indonesia. Currently, the government is targeting food self-sufficiency in 2017 that requires harvesting capability at least twice a year in the area of paddy fields in Indonesia.
Inaki Maulida Hakim +2 more
openaire +1 more source