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Portfolio Optimization for Defence Applications

Kyle Robert Harrison, Saber Elsayed, Ivan Garanovich, Terence Weir, Michael Galister, Sharon Boswell, Richard Taylor, Ruhul Sarker
2020 IEEE Access  
However, the literature regarding portfolio optimization for defense applications is rather sparse.  ...  While the field of portfolio optimization is well established, applications in the defense sector pose unique challenges not seen in other application domains.  ...  A case study consisting of five offensive units and four defensive units was considered in the experimental section using an adaptive immune genetic algorithm.  ... 
doi:10.1109/access.2020.2983141 fatcat:yxvillvsmjemrp4ooomfqrhaiq

Table of Contents

2020 2020 IEEE Symposium Series on Computational Intelligence (SSCI)  
Singh and Nan Ye .......... 241 A3DQN: Adaptive Anderson Acceleration for Deep Q-Networks Ripple Spreading Algorithm for Free-Flight Route Optimization in Dynamical Airspace Hang Zhou and Xiao-Bing Hu  ...  An Artificial Immune System for Adaptive Test Selection Lukas Rosenbauer, Anthony Stein and Joerg Haehner .......... 2940 NDBIris with Better Unlinkability Dongdong Zhao, Xiaoyan Zhou, Jianwen Xiang and  ... 
doi:10.1109/ssci47803.2020.9308155 fatcat:hyargfnk4vevpnooatlovxm4li

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates

Department Of Defense Comptroller's Office
2018 Zenodo  
species tosurvive in harsh environments.  ...  infections caused by antibiotic-resistant pathogens; developingtechniques to enable rapid transient immunity for emerging pathogens; andidentifying fundamental biological mechanisms that enable certain  ...  FY 2019 Plans: -Show the underlying common configurations for optimal hardware which might exist for classes of big data problems.  ... 
doi:10.5281/zenodo.1215599 fatcat:kxduvg6a5nflhf6iilkwnolobu

The Role of Artificial Intelligence (AI) in Condition Monitoring and Diagnostic Engineering Management (COMADEM): A Literature Survey

B. K. Nagaraja Rao
2021 American Journal of Artificial Intelligence  
AI techniques such as, knowledge based systems, expert systems, artificial neural networks, genetic algorithms, fuzzy logic, casebased reasoning and any combination of these techniques (hybrid systems)  ...  Organizations have more data than ever, so it's crucial to ensure that the analytics team should differentiate between Interesting Data and Useful Data.  ...  Jianbin Xiong et al [43] propose a parameter optimization algorithm for the SVM based on multi-genetic algorithm.  ... 
doi:10.11648/j.ajai.20210501.12 fatcat:gvplqmpqubdw3pquik5eavux5u

Toward virtual biopsy through an all fiber optic ultrasonic miniaturized transducer: a proposal

A. Acquafresca, E. Biagi, L. Masotti, D. Menichelli
2003 IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control  
Page 14 ............Scheduling algorithms ....Data systems ........Data acquisition ............Fastbus ............User-generated content ........Data compression ............Adaptive coding .........  ...  ........Adaptive algorithms ............Adaptation models ........Algorithm design and analysis ........Approximation algorithms ........Backpropagation algorithms ........Basis algorithms ........Change  ... 
doi:10.1109/tuffc.2003.1244749 fatcat:l3jre4etsvcqzfyz2jqggji3gy

Transdisciplinary consolidation of financial technologies with knowledge systems
Трансдисциплінарна консолідація фінансових технологій із системами знань

Oleksandr LYUBICH, SESE "The Academy of Financial Management", Oleksandr STRYZHAK, SESE "The Academy of Financial Management"
2021 Fìnansi Ukraïni  
Consolidated interaction is carried out in the process of implementing innovative projects. An aggregative model of consolidated interaction is presented.  ...  Since its establishment in 2014, BTO has optimized its approach, operations, and research portfolio to create opportunities to transition defense-relevant capabilities to military end users and, in some  ...  of scientific, sensor, social, environmental, and many other kinds of data.  ... 
doi:10.33763/finukr2021.11.054 fatcat:edc3aarta5gq7be2wixkynjz7q

Engineering Life into Technology: the Application of Complexity Theory to a Potential Phase Transition in Intelligence

Melanie Swan
2010 Symmetry  
Information optimization is a centerpiece phenomenon in the universe.  ...  A complex dynamical system is emerging in response, the engineering of life into technology.  ...  Another example of military robotics is the DARPA Grand Challenge, where there have been three rounds of competition for unmanned navigation vehicles, lastly in an urban environment [80] .  ... 
doi:10.3390/sym2010150 fatcat:5uiuuiuwybgjxjpb3ml5ygg4ie

The Collaboration between Humans and Robots in the Industrial Environment

Tarek Ismaeel, Patrick Siegfried
2021 Robotica & Management  
Problems of designing safer robots in human-machine interaction systems are urgent research topics in the field of industrial robotics.  ...  This study will describe how the robotics industry evolved increasingly and a new phase of advanced robotics has emerged, and the relation between humans and robots in the same workplace.  ...  challenges associated the fourth industrial revolution and help all stakeholders shape appropriate solutions in a proactive and comprehensive manner, in collaboration with our partners, members, and constituents  ... 
doi:10.24193/rm.2021.2.2 doaj:54a19af238e24f6aba58525cf5e6b5c1 fatcat:zaxloupe65fmzawexk4hkwslne

Précis of Simple heuristics that make us smart

P M Todd, G Gigerenzer
2000 Behavioral and Brain Sciences  
In Simple heuristics that make us smart (Gigerenzer et al. 1999), we explore fast and frugal heuristics--simple rules in the mind's adaptive toolbox for making decisions with realistic mental resources  ...  environments.  ...  Sub-optimal reasons for rejecting optimality A paradox in the rationale for fast and frugal algorithms. There is a curious paradox in Gigerenzer et al.'  ... 
pmid:11301545 fatcat:2rcestruqzeurjcgbvj2akmfbm

Précis of Simple heuristics that make us smart

Peter M. Todd, Gerd Gigerenzer
2000 Behavioral and Brain Sciences  
environments.  ...  These simple heuristics perform comparably to more complex algorithms, particularly when generalizing to new data -that is, simplicity leads to robustness.  ...  The structures of environments are essential for understanding cognition and behavior in terms of adaptation, because adaptations are shaped by (past) environments.  ... 
doi:10.1017/s0140525x00003447 fatcat:43gpji75ifbv3jej4n2xef25vi

OSTP-AWhite House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence

Kris Kitchen
2017 Figshare  
White House Office of Science and Technology Policy Request for Information on the Future of Artificial Intelligence  ...  FLI helped to develop a set of suggested "Research Priorities for Robust and Beneficial Artificial Intelligence" along these lines (available at  ...  Like other economic transitions, AI has the potential for a dramatic increase in prosperity.  ... 
doi:10.6084/m9.figshare.4640305 fatcat:26aelpe4ejbupao5yh2mys2pzq

Self-Organized Evolutionary Process in Sets of Interdependent Variables near the Midpoint of Phase Transition in K-Satisfiability [chapter]

Michael Korkin
2001 Lecture Notes in Computer Science  
Ackerman, John T Strategic Studies Quarterly: An Air Force-Sponsored Strategic Forum for Military, Government, and Academic Professionals. Volume 2, Number 1 -7 Acuff, Hugh F  ...  100-A electrical service that can be adapted for numerous civilian and military operations.  ...  The requirement for larger memory while building big databases can sometimes make this resource a bottleneck for an information indexing system.  ... 
doi:10.1007/3-540-45443-8_20 fatcat:ght26tu6avh57kkp54kifofaee

A* Algorithm [chapter]

2013 Encyclopedia of Operations Research and Management Science  
A heuristic search procedure that selects a node in its search tree for expansion such that the selected node has minimum value of the sum of the cost to reach the node plus a heuristic cost value for  ...  ▶ Expert Systems ▶ Game Theory ▶ Genetic Algorithms ▶ Graph Theory ▶ Heuristics ▶ Horn Clause ▶ Inference Engine ▶ Integer and Combinatorial Optimization ▶ Logic Programming ▶ Machine Learning ▶ Metaheuristics  ...  The key weakness in early optimization systems was not in their algorithms, however, but in their interaction with modelers.  ... 
doi:10.1007/978-1-4419-1153-7_200001 fatcat:pqhbvw2wtjefrdr64yendafiya

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Yogesh K. Dwivedi, Laurie Hughes, Elvira Ismagilova, Gert Aarts, Crispin Coombs, Tom Crick, Yanqing Duan, Rohita Dwivedi, John Edwards, Aled Eirug, Vassilis Galanos, P. Vigneswara Ilavarasan (+23 others)
2019 International Journal of Information Management  
-Taverne project Otherwise as indicated in  ...  panellists from industry and public sector organisations for enriching our understanding of this emerging area by providing their valuable perspectives that have informed the views presented in this article  ...  We are also very grateful to our Senior PVC -Professor Hilary Lappin-Scott, the keynote speaker -Mr Lee Waters AM, Deputy Minister for Economy and Transport, National Assembly for Wales and the following  ... 
doi:10.1016/j.ijinfomgt.2019.08.002 fatcat:f2bggou4unhgjoiei2hzimigmu

International multidisciplinary scientific conferences on the DIALOGUE BETWEEN SCIENCE & ARTS, RELIGION

Collectives Authors
2021 Zenodo  
The basis for minimizing risks when modeling the optimal investment portfolio of an insurance company is an analysis of the existing system for minimizing risks arising from the placement of assets of  ...  After being in Poland for 5 years for military mission, in 1837 he went to his motherland on holiday.  ... 
doi:10.5281/zenodo.5763686 fatcat:v2oongoq4be2femu2bpy4brgm4
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