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Intelligent learning and control of autonomous robotic agents operating in unstructured environments

Hani Hagras, Tarek Sobh
2002 Information Sciences  
One major difficulty concerns the characteristics of the environment that the agent should operate in.  ...  The control of autonomous intelligent robotic agent operating in unstructured changing environments includes many objective difficulties.  ...  This hierarchy preserves the system experience, and speeds up the genetic search by starting the genetic algorithm from the best found point in the space.  ... 
doi:10.1016/s0020-0255(02)00221-9 fatcat:ul5wno4oonhvphivc3257pkgqa

Data Mining in Cyber Operations [chapter]

Misty Blowers, Stefan Fernandez, Brandon Froberg, Jonathan Williams, George Corbin, Kevin Nelson
2014 Advances in Information Security  
, extract knowledge and produce useful visualization.  ...  Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Department of Defense, Washington Headquarters Services  ...  Single classifiers utilize one single machine learning algorithm to create a single model which is used to make classifications.  ... 
doi:10.1007/978-3-319-10374-7_4 fatcat:yyvgh67ejzfjfdnujx3lyk3j5i

Evolutionary induction of global model trees with specialized operators and memetic extensions

Marcin Czajkowski, Marek Kretowski
2014 Information Sciences  
Metaheuristics, such as evolutionary algorithms (EAs), have been successfully applied to the problem of decision tree induction.  ...  This paper proposes a novel solution for each step of the evolutionary process and presents a new specialized EA for model tree induction called the Global Model Tree (GMT).  ...  Acknowledgments The authors thank Bernhard Pfahringer, who provide us with preprocessed datasets.  ... 
doi:10.1016/j.ins.2014.07.051 fatcat:rfwrz4t4tnbizn3rumvlblpn3m

Synthesizing Expert Systems and Operations Research Techniques: system classification and review

H. Raghav Rao, B. P. Lingaraj, Maithili Rao
1994 Australasian Journal of Information Systems  
Expert system (ES) and operations research (OR) nave many fundamental characteristics that can be used to completnent and supplement each other.  ...  In contrast, the algorithm based ES deal with the aggregate system behavior directly (Loparo and Widman, 1990; O'Keefe, 1988) , and are designed to compute actions that are optimal.  ...  and then uses the algorithm to give the preferred layout This process is repeated until an optimal layout is achieved The knowledge base helps select the best route based on experience.  ... 
doi:10.3127/ajis.v1i2.421 fatcat:yiy24h5nxvaazeetcweimszk74

MATCHING LSI FOR SCALABLE INFORMATION RETRIEVAL

Palsonkennedy
2012 Journal of Computer Science  
This study presents a distributed LSI algorithm MR-LSI which can solve the scalability issue using Hadoop framework based on the distributed computing model Map Reduce.  ...  Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations.  ...  A genetic algorithm based load balancing scheme is designed to optimize the performance of MR-LSI in heterogeneous computing environments.  ... 
doi:10.3844/jcssp.2012.2083.2097 fatcat:gi5rnurm2ncgnci5vagym2bd5e

Metaheuristics: A Canadian Perspective

Michel Gendreau, Jean-Yves Potvin
2008 INFOR. Information systems and operational research  
In the proposed algorithm, TS is used to quickly identify columns (feasible routes) with a negative reduced cost in a first stage, while an exact dynamic programming algorithm is applied later to generate  ...  Genetic algorithms have been successfully applied to many combinatorial optimization problems, although this success has often been achieved by departing from the classical scheme outlined above.  ... 
doi:10.3138/infor.46.1.71 fatcat:zconnypg4jfytmhwxzibrkc3k4

Mutation: A New Operator in Gravitational Search Algorithm Using Fuzzy Controller

Hossein Azadi Kherabadi, Sepehr Ebrahimi Mood, Mohammad Masoud Javidi
2017 Cybernetics and Information Technologies  
(SGSA), Gravitational Particle Swarm algorithm (GPS), Particle Swarm Optimization algorithm (PSO), Clustered Gravitational Search Algorithm (CGSA) and Real Genetic Algorithm (RGA).  ...  In this paper, this problem has been solved through definingamutation function which uses fuzzy controller to control mutation parameter.  ...  This optimizer algorithm is based on two famous Newton laws: movement and gravity.  ... 
doi:10.1515/cait-2017-0006 fatcat:sxdtc4xbtngalpgv4jcelbtalm

Optimization of the precision gear grinding operation based on integrated information system
Оптимізація операції прецизійного зубошліфуванняна основі інтегрованої інформаційної системи

Vasily P. Larshin, Olga B. Babiychuk, Oleksandr V. Lysyi, Serhii M. Verpivskyi, Zhang Yunxuan
2021 Herald of Advanced Information Technology  
The article shows that at the stage of pre-production, the gear grinding optimization is a method of operation design.  ...  At this stage, i.e. when a robust longitudinal feed automatic control system is operating, the optimization carried out at the previous stage (pre-production) sets the functioning algorithm for the adaptive  ...  The algorithm for an automatic device (both operation and control algorithms) is an information description of the processes of both operation and control (Fig. 5 ).  ... 
doi:10.15276/hait.04.2021.2 fatcat:44hikxtvu5g7zhzqiovm7nijhu

Development status and trend of autonomous operation for unmanned surface vehicle

Qing Cai, Feng Li, Yingfa Lu, Changbo Cheng
2022 International Conference on Computer Application and Information Security (ICCAIS 2021)  
Finally, based on the analyses of development status, it addresses the development trend of autonomous operation for USV.  ...  USVs can be used for multi-mission, so autonomous operation for USV faces a lot of challenges, such as complex and changeable marine environmental factors, limited means of awareness in sea, low degree  ...  algorithm 95, 96 , ant colony algorithm 97 , genetic algorithm [98] [99] , reinforcement learning method 100 , etc.  ... 
doi:10.1117/12.2637765 fatcat:o3bjdfogbzbxpnrkc7mnzmmfci

Artificial Neural Network Based Machining Operation Selection for Prismatic Components

K.K. Natarajan, J Gokulachandran
2020 International Journal on Advanced Science, Engineering and Information Technology  
CAPP research includes neural network approaches, knowledgebased techniques, Petri nets, agent-based, fuzzy set theory, genetic algorithm, Standard for the Exchange of Product model data (STEP)-Compliant  ...  LevenbergMarquidt algorithm was used to train the networks and was found very effective in operation sequence selection.  ...  The cutting parameters in CNC milling operations were optimized using an Artificial neural network to reduce the cost of production in face milling operation.  ... 
doi:10.18517/ijaseit.10.2.8646 fatcat:oyxebgjznjgkpmpjlcbzzpn7pi

A scheme for determining vehicle routes based on Arc-based service network design

Xiaoping Jiang, Ruibin Bai, Jason Atkin, Graham Kendall
2016 INFOR. Information systems and operational research  
2017) A scheme for determining vehicle routes based on Arc-based service network design. INFOR: Information Systems and Operational Research, 55 (1). pp. 16-37.  ...  Some of the pruning can also be done in the first stage to speed up the proposed algorithm.  ...  The pruning strategy will help reduce the total search time and speed up Algorithm 1 in Fig. 4 .  ... 
doi:10.1080/03155986.2016.1262580 fatcat:w2hmnpe27naftby6xtsn6ewmq4

DiverGene: Experiments on Controlling Population Diversity in Genetic Algorithm with a Dispersion Operator

Anna Strzeżek, Ludwik Trammer, Marcin Sydow
2015 Proceedings of the 2015 Federated Conference on Computer Science and Information Systems  
We present diverGene -a novel, diversity-aware population selection operator for genetic algorithm -to be used especially for particularly complex and multi-criteria optimisation problems.  ...  Genetic algorithm is one of the most known evolutionary algorithms for solving hard optimisation problems. Many attempts have been made to improve its convergence rate and quality of the result.  ...  In the classical genetic algorithm, the selection operator is based mainly on the fitness function of an individual.  ... 
doi:10.15439/2015f411 dblp:conf/fedcsis/StrzezekTS15 fatcat:vgcbskl4lbgljoouyvir37kyaa

Genetic algorithm usage for optimization of saturator operation

Volodymyr Polupan, Victor Sidletskyi
2018 Ukrainian Food Journal  
Simulation modeling based on classical and hybrid genetic algorithms is used to determine the optimal performance parameters. Results and discussion.  ...  Usage of hybrid functions allowed to additionally reduce integral quadratic criterion to І = 529-541 and to speed up the system, required time T = 98-105 s.  ...  Genetic algorithm explanation Genetic algorithm is an evolutionary algorithm of heuristic search, that is used to solve optimization problems by modelling of natural selection, crossover and mutation,  ... 
doi:10.24263/2304-974x-2018-7-4-18 fatcat:psiiib2iorc2vcqwpn7gnfcc2m

A MapReduce Based Distributed LSI for Scalable Information Retrieval

Yang Liu, Maozhen Li, Mukhtaj Khan, Man Qi
2014 Computing and informatics  
Latent Semantic Indexing (LSI) has been widely used in information retrieval due to its efficiency in solving the problems of polysemy and synonymy.  ...  A genetic algorithm based load balancing scheme is designed to optimize the performance of MR-LSI in heterogeneous computing environments.  ...  A genetic algorithm based load balancing scheme is designed to optimize the performance of MR-LSI in heterogeneous computing environments in which the computing nodes have varied resources.  ... 
dblp:journals/cai/LiuLKQ14 fatcat:vjrfmofly5fp3mcexjgkm6anra

Humanitarian Logistics: A New Field of Research and Action

Aruna Apta
2009 Foundations and Trends® in Technology Information and Operations Management  
We recommend further research in the fields of operations management and operations research to improve the effectiveness and efficiency of humanitarian logistics.  ...  We survey case studies to learn from the past experience and review analytical models from the literature to understand the state-of-the-art in humanitarian logistics.  ...  A research study [40] incorporates an information center that uses prediction and optimization models and heuristic algorithms to generate alternate routes due to disruption in traffic and infrastructure  ... 
doi:10.1561/0200000014 fatcat:yyxzv7auyvgu3hcbll2yazqpfa
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