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Minehunting Mission Planning for Autonomous Underwater Systems Using Evolutionary Algorithms

Nuno Abreu, Aníbal Matos
2014 Unmanned Systems  
An artificial neural network (ANN) model was also integrated in the evolutionary procedure to guide the search.  ...  Our algorithm combines an evolutionary algorithm (EA) with a local search procedure, aiming at a more flexible and effective exploration and exploitation of the search space.  ...  Acknowledgements This work is financed by the ERDF -European Regional Development Fund through the COMPETE Programme (operational programme for competitiveness) and by Na-  ... 
doi:10.1142/s2301385014400081 fatcat:g5by5qossza7hmqck7vbki4uvy

Many-Objective Optimization of a Hybrid Car Controller [chapter]

Tobias Rodemann, Kaname Narukawa, Michael Fischer, Mohammed Awada
2015 Lecture Notes in Computer Science  
In order to reach these targets a highly efficient control (energy management) is required.  ...  For finding various solutions for the problem effectively, a new evolutionary algorithm is proposed with three sample saving techniques.  ...  A Multiobjective Evolutionary Algorithm for Personalized Tours in Street Networks Ivanoe De Falco, Umberto Scafuri, Ernesto Tarantino The paper presents a novel optimizer to plan multiple-day walking  ... 
doi:10.1007/978-3-319-16549-3_48 fatcat:yvlv6xnggnf3jn7vdnnwih6chy

Integrated Intelligent Green Scheduling of Predictive Maintenance for Complex Equipment based on Information Services

Shanghua Mi, Yixiong Feng, Hao Zheng, Zhiwu Li, Yicong Gao, Jianrong Tan
2020 IEEE Access  
In response to deal with the uncertainties of maintenance service environment and inaccuracy of prediction, a data-driven dynamic adjustment strategy is applied.  ...  A structural framework of information sharing and service network is introduced to build a ubiquitous state data awareness environment for predictive maintenance service.  ...  For example, Guo et al. considered multiobjective optimization problems of the product disassembly planning with resource-constrained and sequence-dependent relationship and proposed a lexicographic multiobjective  ... 
doi:10.1109/access.2020.2977667 fatcat:wbebquywpzhyxlc6g434j4t3by

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  ...  We contribute to the literature by introducing an AMR planning and control framework to guide managers in the decision-making process, thereby supporting them to achieve optimal performance.  ...  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

2021 Index IEEE Transactions on Industrial Informatics Vol. 17

2021 IEEE Transactions on Industrial Informatics  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  -that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Chen, C., +, TII Dec. 2021 8092-8101 Automatic guided vehicles Cyber-Physical System-Based Heuristic Planning and Scheduling Method for Multiple Automatic Guided Vehicles in Logistics Systems.  ... 
doi:10.1109/tii.2021.3138206 fatcat:ulsazxgmpfdmlivigjqgyl7zre

Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip [chapter]

Jakub Muszyński, Sébastien Varrette, Pascal Bouvry
2016 Lecture Notes in Computer Science  
EvoAPP session 10 : Evolutionary algorithms in industrial and simulated environments Can Evolutionary Algorithms Beat Dynamic Programming for Hybrid Car Control?  ...  The optimization of the control strategy allows for the optimization with respect to variable tariffs while being conducive for the integration of renewable energy sources into the energy system.  ... 
doi:10.1007/978-3-319-31204-0_20 fatcat:27rnwllk75cv5kncys2u7utreq

Scheduling of Flexible Manufacturing System using Genetic Algorithm (Multiobjective): A Review

Navnikaa Rajan, Srishti Jaiswal, Tanya Kalsi, Vijai Singh
2014 International Journal of Computer Applications  
For achieving the desired performance in an FMS it is required that a good scheduling system, taking into account the system conditions should generate an optimal schedule at the right time.  ...  A flexible, integrated, computer-controlled environment allows the system to react on occurrence of changes, whether predicted or unpredicted.  ...  line of products to produce a new product  The ability to change a production schedule, to modify a part, or handling of multiple parts  The ability to efficiently produce highly customised products  ... 
doi:10.5120/15102-2678 fatcat:7krwrviwprbctjxpmxkyhvqj24

Overview and Tools of Asset Management in Renewable Energy Based Smart Grid

Surender Reddy Salkuti
2018 International Journal of Engineering & Technology  
This paper will serve a guide for doing the asset management to the electrification process, investment and recovery to sustain reliable and efficient power delivery.  ...  Aging assets, uncertainty in load demand profile and renewable energy resources, and demand management create a challenge for the optimal operation and maintenance of electrical grid.  ...  In addition to managing the energy metering data for smart meters, an MDMS can also provide a collection of adapters and interfaces to integrate multiple smart metering infrastructure systems that use  ... 
doi:10.14419/ijet.v7i2.27.13011 fatcat:2zny6mddn5fdnkzlutxtjnipk4

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Yudong Zhang, Shuihua Wang, Genlin Ji
2015 Mathematical Problems in Engineering  
It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.  ...  , ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic  ...  An efficient insertion heuristic algorithm was also proposed to build the valid vehicle route in the particle decoding process.  ... 
doi:10.1155/2015/931256 fatcat:ubc5eywnhzdjllxjaywe4czhnm

Scanning the Issue

Azim Eskandarian
2022 IEEE transactions on intelligent transportation systems (Print)  
With the development of deep representation learning, the domain of reinforcement learning (RL) has become a powerful learning framework now capable of learning complex policies in high-dimensional environments  ...  This review summarizes deep reinforcement learning (DRL) algorithms and provides a taxonomy of automated driving tasks where (D)RL methods have been employed, while addressing key computational challenges  ...  Vašak The control system for energy-efficient train operation with the inclusion of a detailed train motion model and train traction system energy efficiency is presented in the article.  ... 
doi:10.1109/tits.2022.3174254 fatcat:o6z3ncdkgbh5dmvvywtok7hwke

An Investigation into the Energy-Efficient Motion of Autonomous Wheeled Mobile Robots

Mohammad Mohammadpour, Lotfi Zeghmi, Sousso Kelouwani, Marc-André Gaudreau, Ali Amamou, Massinissa Graba
2021 Energies  
Since the energy density of the battery is limited, energy efficiency becomes a key element in improving material transportation performance during the manufacturing process.  ...  In addition, by using an industrial Self-Guided Vehicle (SGV), we illustrate the direct influence of the motion planning stage on global energy consumption by means of several simulations and experiments  ...  [33] used evolutionary algorithms to generate a multiobjective optimal path for a Wheeled Mobile Robot (WMR).  ... 
doi:10.3390/en14123517 fatcat:zvm2c6vdzvddpm75o6ler6bii4

2020 Index IEEE Transactions on Industrial Informatics Vol. 16

2020 IEEE Transactions on Industrial Informatics  
, L., Serra, J., Pubill, D., and Verikoukis, C., NFV-Enabled Experimental Platform for 5G Tactile Internet Support in Industrial Environments; 1895-1903., see Xin, J., TII Oct. 2020 6413-6422 Meng,  ...  Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022  ...  ., +, TII Sept. 2020 5929-5937 Military vehicles Protecting an Autonomous Delivery Agent Against a Vision-Guided Adversary: Algorithms and Experimental Results.  ... 
doi:10.1109/tii.2021.3053362 fatcat:blfvdtsc3fdstnk6qoaazskd3i

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
This paper presents a cellular genetic algorithm for optimizing the variable order in Reduced Ordered Binary Decision Diagrams. The evolution process is inspired by a basic genetic algorithm.  ...  The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm.  ...  Network Systems, Jun Zhang 152, Wei-Huai Hsu and Tsung-Che Chiang, A Multiobjective Evolutionary Algorithm with Enhanced Reproduction Operators for the Vehicle Routing Problem with Time Windows 523, Xin-Lan  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Meta-Heuristic Algorithms in Car Engine Design: A Literature Survey

Mohammad-H. Tayarani-N., Xin Yao, Hongming Xu
2015 IEEE Transactions on Evolutionary Computation  
Index Terms-Control system, engine calibration, engine management systems, evolutionary algorithms (EAs), fault diagnosis, memetic algorithms, meta-heuristic algorithms, multiobjective optimization.  ...  The metaheuristic algorithms reviewed in this paper include evolutionary algorithms, evolution strategy, evolutionary programming, genetic programming, differential evolution, estimation of distribution  ...  K-S iteration with evolutionary search, a PID controller was proposed for the problem.  ... 
doi:10.1109/tevc.2014.2355174 fatcat:le2et3abrjbcbf5jxzgs2gff54

Autonomous Reactive Mission Scheduling and Task-Path Planning Architecture for Autonomous Underwater Vehicle [article]

Somaiyeh Mahmoud.Zadeh
2017 arXiv   pre-print
This research deals with developing a novel reactive control architecture to provide a higher level of decision autonomy for the AUV operation that enables a single vehicle to accomplish multiple tasks  ...  Thus, design an efficient routing-task priority assign framework considering vehicle's availabilities and properties is essential for increasing mission productivity and on-time mission completion.  ...  Kulatunga et al., [41] also introduced a solution for simultaneous task assignment and route planning of multi automated guided vehicles applying an ACO based meta-heuristic algorithm, in which ACO based  ... 
arXiv:1706.04189v1 fatcat:hgwbnghhovgsrh47sog4dyhe5u
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