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Preface to Part II Computational Intelligence and Machine Learning

Rosemary D. Paradis, David Enke
2012 Procedia Computer Science  
Data analysis, and identifying the right data to represent the problem often takes up most of the time in determining a problem solution.  ...  Neural networks, fuzzy logic and evolutionary programming are just a few of the techniques that have been developed to solve some of these problems.  ...  Genetic Algorithm for Flexible Job-Shop Scheduling Problems Evaluation of Feedbacks Among Multiple Scheduler Profiles in Fuzzy Genetic Scheduling An Evolutionary Game Theory Approach for Intelligent Patrolling  ... 
doi:10.1016/j.procs.2012.09.035 fatcat:rkurvurdpfhzvihifjvnxvqb44

Special Issue on Intelligent Energy Solutions to Sustainable Production and Service Automation

Ying Tang, Congbo Li, Andrea Matta, Qing Chang
2021 IEEE Transactions on Automation Science and Engineering  
We would like to express our sincere thanks to the reviewers for their excellent and timely refereeing.  ...  Last, but not least, we thank all authors for their contributions, which made this Special Issue possible.  ...  for solving robotic cell scheduling problem with batchprocessing machines" In this article, Wu et al. study robotic cells in manufacturing, which consist of one or more robots used for part movements  ... 
doi:10.1109/tase.2021.3052064 fatcat:apvtkol62zagvk5gali343wyoe

A comprehensive survey on the Multiple Traveling Salesman Problem: Applications, approaches and taxonomy

Omar Cheikhrouhou, Ines Khoufi
2021 Computer Science Review  
We highlight the approaches applied to solve the MTSP as well as its application domains. We analyze the MTSP variants and propose a taxonomy and a classification of recent studies.  ...  The Multiple Travelling Salesman Problem (MTSP) is among the most interesting combinatorial optimization problems because it is widely adopted in real-life applications, including robotics, transportation  ...  Meta-heuristic based approaches The most used meta-heuristic algorithms in the literature are; Genetic The authors in [46] aims to build a genetic algorithm solution to solve MTSP.  ... 
doi:10.1016/j.cosrev.2021.100369 fatcat:xnpxosxsdfbb5i6zm5ajlbx4fu

Page 956 of The Journal of the Operational Research Society Vol. 55, Issue 9 [page]

2004 The Journal of the Operational Research Society  
A genetic approach for solving a scheduling problem in a robotized analytical system. J Heuristics 4: 245-261 Armony M, Klincewicz JG, Luss H and Rosenwein MB (2000).  ...  A hybrid genetic algorithm for the economic lot scheduling problem. Jnt J Production Res 40: 809-824. Rochat Y (1998).  ... 

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

Paolo Renna, Sergio Materi
2021 Applied Sciences  
A description of the main approaches used in the analyzed papers was discussed.  ...  The conclusion reports the main findings of the review and suggests future directions for the researchers in the integration of renewable energy in the manufacturing systems consumption models.  ...  The mathematical problem was solved using a genetic algorithm.  ... 
doi:10.3390/app11167366 fatcat:utvylqdpdbgdppmdkiqcjyi57y

Special Issue on Analysis, Design, and Optimization in Smart and Connected Production and Service Systems

Jingshan Li, Chao-Bo Yan, Hyun-Jung Kim, Xiaolei Xie, Hyo-Kyung Lee
2022 International Journal of Production Research  
In paper 'A novel feature selection for evolving compact dispatching rules using genetic programming for dynamic job shop scheduling', Salama, Kaihara, Fujii and Kokuryo propose a new representation of  ...  Furthermore, in paper 'Scheduling of autonomous mobile robots with conflict-free routes utilising contextual-bandit-based local search', Jun, Choi Lee divide the autonomous mobile robots (AMRs) problem  ... 
doi:10.1080/00207543.2022.2078036 fatcat:gywqetdnq5filhhtzk4scpzj3e

Planning and control of autonomous mobile robots for intralogistics: Literature review and research agenda

Giuseppe Fragapane, René de Koster, Fabio Sgarbossa, Jan Ola Strandhagen
2021 European Journal of Operational Research  
Compared to an automated guided vehicle (AGV) system in which a central unit takes control of scheduling, routing, and dispatching decisions for all AGVs, AMRs can communicate and negotiate independently  ...  Decentralized decision-making allows the system to react dynamically to changes in the system state and environment.  ...  Acknowledgments This research received funding from the strategic research area of NTNU Health in 2020 at NTNU, the Norwegian University of Science and Technology.  ... 
doi:10.1016/j.ejor.2021.01.019 fatcat:35kw4ivhz5ed7m4keotmecj56a

Evolutionary approaches for scheduling a flexible manufacturing system with automated guided vehicles and robots

Chandramouli Anandaraman, Arun Vikram, Madurai Sankar, Ramaraj Natarajan
2012 International Journal of Industrial Engineering Computations  
This paper addresses the scheduling of machines, an Automated Guided Vehicle (AGV) and two robots in a Flexible Manufacturing System (FMS) formed in three loop layouts, with objectives to minimize the  ...  The robots are used for loading and unloading the jobs in the machines, and also used for transferring jobs between the machines.  ...  Engin and Doyen (2004) explained a new approach to solve hybrid flowshop scheduling problems using AIS.  ... 
doi:10.5267/j.ijiec.2012.03.004 fatcat:yz27r4adizbhxie5trpbgku5xu

The Hybrid Genetic Algorithm for Solving Scheduling Problems in a Flexible Production System

Jebari Hakim, Rahali El Azzouzi Saida, Samadi Hassan
2015 International Journal of Computer Applications  
The objective of this work is to solve the problem of scheduling in a flexible production system by the adaptation of the genetic algorithm and the hybrid genetic algorithmusing the simple local search  ...  This is the reason why the problems scheduling in these systems are NP complete. Therefore, there is no algorithm able to solve these problems exactly.  ...  Several authors have focused on solving the flexible job-shop scheduling problems. Numerous approaches have been proposed for solving scheduling problems in flexible production systems.  ... 
doi:10.5120/19369-1050 fatcat:hymmh3vdw5crbodyhwzh52ze7u

Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

Vladimir Modrak, Zuzana Soltysova
2022 Applied Sciences  
This Special Issue is a collection of some of the latest advancements in designing and scheduling smart manufacturing systems [...]  ...  Acknowledgments: Moreover, we would like to thank all the authors who participated in this Special Issue and all the reviewers, and give many thanks to the editorial team of the Applied Sciences journal  ...  Kim [6] presents a novel genetic algorithm approach that utilizes a multiple chromosome scheme to solve the flexible job-shop scheduling problem which involves two kinds of decisions-machine selection  ... 
doi:10.3390/app12063011 doaj:2661b5137338423abe68f40c382ff37a fatcat:vbrm25szpvh75kohtqsxwpo2ka

Mathematical Modeling and Optimization of Industrial Problems

M. Montaz Ali, Aderemi O. Adewumi, Nachamada Blamah, Olabisi Falowo
2015 Journal of Applied Mathematics  
Most papers dwell on modeling of real-world industrial problems, innovative optimization technique for solving real-world problems including heuristics, finite methods, operation  ...  Researchers were invited to contribute original research and review articles that explore, model, and solve real life optimization problems in various fields.  ...  The paper "A Scheduling Problem in the Baking Industry" by F. A.  ... 
doi:10.1155/2015/438471 fatcat:mr4aauo6v5a6hc3sdxy73gqxrm

Effect of Human-Robot Interaction on the Fleet Size of AIV Transporters in FMS

Lancelot Martin, Mario Gonzalez-Romo, M'hammed Sahnoun, Belgacem Bettayeb, Naihui He, James Gao
2021 2021 1st International Conference On Cyber Management And Engineering (CyMaEn)  
Recently, more flexible and collaborative mobile robots known as autonomous intelligent robots (AIV) can be used in manufacturing systems.  ...  This paper focuses on AIV fleet size definition in a variable and unexpected environment with humans while keeping AIV assigned transportation tasks on time.  ...  ACKNOWLEDGMENT This research was made possible thanks to A C 2.6 million financial support from the European Regional Development Fund provided by the Interreg V France Channel England Programme in context  ... 
doi:10.1109/cymaen50288.2021.9497273 fatcat:ipfy7ue52fh4pckf6yqpovdiru

Multi-Robot On-site Shared Analytics Information and Computing [article]

Joshua Vander Hook and Federico Rossi and Tiago Vaquero and Martina Troesch and Marc Sanchez Net and Joshua Schoolcraft and Jean-Pierre de la Croix and Steve Chien
2021 arXiv   pre-print
In this paper we introduce a communication-aware, computation task scheduling problem for multi-robot systems and propose an integer linear program (ILP) that optimizes the allocation of computational  ...  Computation load-sharing across a network of heterogeneous robots is a promising approach to increase robots capabilities and efficiency as a team in extreme environments.  ...  ACKNOWLEDGEMENTS This work was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration.  ... 
arXiv:2112.06879v1 fatcat:jng5dy63ujgeblfejngty6tp3i

Intelligent systems in manufacturing: current developments and future prospects

Farid Meziane, Sunil Vadera, Khairy Kobbacy, Nathan Proudlove
2000 Integrated Manufacturing Systems  
This paper is a review of artificial intelligence techniques used in manufacturing systems.  ...  Traditional approaches to manufacturing systems do not fully satisfy this new situation.  ...  Zeid et al. (1997) have proposed a CBR approach to solve design for disassembly (DFD) problem.  ... 
doi:10.1108/09576060010326221 fatcat:lgmpgl65mjdbld2tknib6skxwa

Review on Optimization Techniques for AGV's Optimization in Flexible manufacturing System

. • Need of AGV's in flexible manufacturing system. • Summarized Optimization Techniques used for AGV's.  ...  [4] used the Fuzzy logic controller (FLC) system to control the performance of the Genetic Algorithm (GA) while solving the AGV problem in planning.  ...  It minimizing makespan for the problem of reactive production scheduling in a FMS with AGVs . [16] It was used for designing material handling for single-loop AGV systems to reduce the total flow distance  ... 
doi:10.35378/gujs.994588 fatcat:ebapz5xegfbi3dxgfcucaykgsy
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