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Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
A coevolutionary algorithm for two solution sets, population and archive, using objective-wise local search and set-based simulated binary operation in order to address the multiobjective carpool service  ...  Based on these findings and the current state-of-the-art solutions for interaction between autonomous vehicles (AVs) and pedestrians, a road map for future research is proposed regarding what methods and  ...  A multiobjective optimization model is formulated to adaptively select the appropriate locations for barriers according to different evacuation phases.  ... 
doi:10.1109/tits.2020.2972652 fatcat:ppev3ra7hbeopio2yqbbf32gbu

UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms

Gary B. Lamont, James N. Slear, Kenneth Melendez
2007 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making  
The purpose of this research is to design and implement a comprehensive mission planning system for swarms of autonomous aerial vehicles (UAV).  ...  The culmination of this effort is the development of an extensible developmental path planning model integrated with swarm behavior and tested with a parallel UAV simulation.  ...  The research is sponsored by the Information Directorate and the Sensors Directorate (Virtual Combat Laboratory), Air Force Research Laboratory (AFRL), WPAFB, Ohio.  ... 
doi:10.1109/mcdm.2007.369410 dblp:conf/cimcdm/LamontSM07 fatcat:7tdcev3sxfhevagxrplootycoy

2019 Index IEEE Transactions on Industrial Informatics Vol. 15

2019 IEEE Transactions on Industrial Informatics  
., +, TII Dec. 2019 6572-6582 Energy-and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm.  ...  ., +, TII July 2019 4306-4314 Energy-and Labor-Aware Production Scheduling for Industrial Demand Response Using Adaptive Multiobjective Memetic Algorithm.  ... 
doi:10.1109/tii.2020.2968165 fatcat:utk3ywxc6zgbdbfsys5f4otv7u

2020 Index IEEE Transactions on Intelligent Transportation Systems Vol. 21

2020 IEEE transactions on intelligent transportation systems (Print)  
., +, TITS Dec. 2020 5123-5135 Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry.  ...  Ren, Y., +, TITS Sept. 2020 3871-3882 Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry.  ... 
doi:10.1109/tits.2020.3048827 fatcat:ab6he3jkfjboxg7wa6pagbggs4

Optimization problems in natural gas transportation systems: A state-of-the-art review

Roger Z. Ríos-Mercado, Conrado Borraz-Sánchez
2015 Applied Energy  
We discuss both steady-state and transient optimization models highlighting the modeling aspects and the most relevant solution approaches known to date.  ...  station modeling (fuel cost minimization problems).  ...  Acknowledgements: The research of the first author was supported by the Mexican Council for Science and Technology, grant CONACyT CB-2011-01-166397.  ... 
doi:10.1016/j.apenergy.2015.03.017 fatcat:2jdzepvvzbdgfosckrkacehnfq

Dispersion [chapter]

2008 Business Site Selection, Location Analysis and GIS  
Examples include libraries, courts, post offices, vehicle inspection stations, ambulances, solidwaste recycling centers, and many others.  ...  are no explicit constraints for this model, except that the plant location is in our region.  ...  model A model that involves picking all land units that fall within a specified threshold. trade area (market area) The region or zone surrounding a given retail site for which that retail site attracts  ... 
doi:10.1002/9780470432761.ch10 fatcat:e7r5a7g5ybhpzbgx6xjav2wrzq

Enclosing rail capacity/punctuality in accessibility measures: a two-step approach by using Data Envelopment Analysis and Analytic Hierarchy Process

Francesco Rotoli, Elena Navajas Cawood, Lorenzo Vannacci
2015 2015 International Conference on Industrial Engineering and Systems Management (IESM)  
, their schedules and the associated transportation itineraries for the forecast demand.  ...  Operations research offers the modelling frameworks and solution methods to build these advanced planning methods.  ...  Supply Chain Management Practices • Supply Chain Management and Performance: a Bibliometric Analysis • Performance Metrics for a Supply Chain Subject to Stochastic Demand Bullwhip effect metrics for  ... 
doi:10.1109/iesm.2015.7380133 fatcat:hbiqir2zo5bejlasdudkjzom2e

14th International Symposium on Mathematical Programming

1990 Mathematical programming  
to the well known serious steps und null steps of bundle methods a third type of steps is used to generate the model of dom .  ...  It is shown that for the success of the variant dom must ful ll a regularity property and that the choice of the normal vectors must meet some demands.Both requirements are ful lled if dom is polyhedral  ...  FR2-H-CO22 Multiobjective Optimization Models For Product Design Ball Michael O.  ... 
doi:10.1007/bf01580875 fatcat:3jtclwmntzgjxkqs5uecombdaa

Combined transportation network optimization and spatial allocation of pollution emissions

1997 Transportation Research Part A: Policy and Practice  
Higher quality^ 6" x 9" black and white photographic prints are available for any photographs or illustrations appearing in this copy for an additional charge. Contact UMI directly to order.  ...  ., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand comer and continuing from lefr to right in equal sections with gmall overlaps.  ...  They apply a disaggregate probit model for travel demand and combine both deterministic and stochastic assignments o f trips to paths on the network.  ... 
doi:10.1016/s0965-8564(97)88257-2 fatcat:tat6qpbbp5gojdv3fvpnrvuqza

A Review of AI-enabled Routing Protocols for UAV Networks: Trends, Challenges, and Future Outlook [article]

Arnau Rovira-Sugranes, Abolfazl Razi, Fatemeh Afghah, Jacob Chakareski
2021 arXiv   pre-print
We also address, with an AI emphasis, the closely related topics of mobility and networking models for UAV networks, simulation tools and public datasets, and relations to UAV swarming, which serve to  ...  An important example of this trend is developing learning-powered routing protocols, where machine learning methods are used to model and predict topology evolution, channel status, traffic mobility, and  ...  Start and end points are randomly assigned, but the velocity and the flight time are given. 6) PaPaRaZzi Mobility model (PPRZM) [137] : It is a stochastic mobility model that combines various models with  ... 
arXiv:2104.01283v2 fatcat:p2vgtckponfm5flwz4dscf7dju

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
Batch-End Quality Model-ing and Monitoring Based on Optimized Sparse Partial Least Squares; TIE May 2020 4098-4107 Jiang, S., Li, L., Xu, H., Xu, J., Gu, G., and Shull, P.B., Stretchable e-Skin Patch  ...  Dual Time-Scale Unscented Kalman Filter; TIE Jan. 2020 442-450 Jiang, K., Yan, F., and Zhang, H., Data-Driven Modeling and UFIR-Based Out-let NO x Estimation for Diesel-Engine SCR Systems; TIE June 2020  ...  Tuning of Digital PID Controllers Using Particle Swarm Optimization Algorithm for a CAN-Based DC Motor Subject to Stochastic Delays.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

Computational Air Traffic Management

Marc Anthony Azzopardi, James F. Whidborne
2011 2011 IEEE/AIAA 30th Digital Avionics Systems Conference  
However, the diverging gap between ATM performance and fundamental requirements indicates the need for a step change.  ...  The system offers unique advantages in terms of resilience to disruption, efficiency and future scalability.  ...  , lowest environmental impact and the shortest final time for each journey of each aircraft, subject to simulated and modelled expected future constraints.  ... 
doi:10.1109/dasc.2011.6095967 fatcat:5kfu6ba5h5g7pdffh7z3ftdjai

Some Problems of Deployment and Navigation of Civilian Aerial Drones [article]

Xiaohui Li
2021 arXiv   pre-print
Moreover, with the capability of rapidly moving communication supply towards demand when required, the drone equipped with a base station, i.e., drone-cell, is becoming a promising solution for providing  ...  One of the biggest challenges is to determine the deployment and navigation of the drones to benefit the most for different applications. Many research questions have been raised about this topic.  ...  The authors proposed a distributed optimization model and coverage maximizing algorithm to find the locations of the drones.  ... 
arXiv:2106.13162v1 fatcat:wkloiufjyjdszmlesbr7yn3why

An Overview of AI Methods for in-Core Fuel Management: Tools for the Automatic Design of Nuclear Reactor Core Configurations for Fuel Reload, (Re)arranging New and Partly Spent Fuel

Ephraim Nissan
2019 Designs  
as in order to optimize combustion, with longer cycles of operation between shutdown periods, thus delaying the end-of-cycle point (except in France, where shutdown is on an annual basis, and Canada, where  ...  individual fuel assemblies are replaced, with no need for shutdown for rearranging the entire batch).  ...  Algorithms 1 and 2 are by Hava Siegelmann, and taken from a co-authored article. I was introduced to nuclear engineering and refuelling by Alex Galperin.  ... 
doi:10.3390/designs3030037 fatcat:weuawyj4bnfirg4zcizln3g4xa

Sustainable Drainage Systems [chapter]

Neil Berwick
2016 Sustainable Surface Water Management  
The authors greatly acknowledge the support of this organization and also thank the City of Quebec for providing the raw data and the SWMM models used in this study.  ...  The authors also want to extend thanks to Østfold University College and The Norwegian University of Life Sciences for financing this study.  ...  location of detention basin systems including the outlet structures subject to design constraints.  ... 
doi:10.1002/9781118897690.ch4 fatcat:3gizoj2cffdnjjekbemzydv7um
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