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Automatic Discovery and Exploitation of Promising Subproblems for Tabulation [chapter]

Özgür Akgün, Ian P. Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z. Salamon
2018 Lecture Notes in Computer Science  
The process of discovering promising subproblems and tabulating them is entirely automated in the tool Savile Row. A cache is implemented to avoid tabulating equivalent subproblems many times.  ...  The performance of a constraint model can often be improved by converting a subproblem into a single table constraint. In this paper we study heuristics for identifying promising subproblems.  ...  Minion−Conflict Conclusions In this paper we have demonstrated that a small set of heuristics can successfully and automatically identify promising subproblems in a constraint model for tabulation, and  ... 
doi:10.1007/978-3-319-98334-9_1 fatcat:75g7q4brcbdpng6febatib6e6u

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  
This paper surveys the synthesis of ES and OR and discusses and classifies various expert systems that synthesize the two for managerial problem solving.  ...  Expert system (ES) and operations research (OR) nave many fundamental characteristics that can be used to completnent and supplement each other.  ...  ACKNOWLEDGEMENT The authors would like to thank Ariyapadi Krishnaraj of SUNY at Buffalo for his excellent research assistance.  ... 
doi:10.3127/ajis.v1i2.421 fatcat:yiy24h5nxvaazeetcweimszk74

A Self-Organized, Distributed, and Adaptive Rule-Based Induction System

P. Rojanavasu, Hai Huong Dam, H.A. Abbass, C. Lokan, O. Pinngern
2009 IEEE Transactions on Neural Networks  
The overall classification problem is decomposed adaptively and in real time by the SOM into subproblems, each of which is handled by a separate UCS.  ...  The experiments show that the proposed framework can decompose a problem adaptively into subproblems, maintaining or improving accuracy and increasing speed.  ...  Automatic problem decomposition of the learning problem is one direction that holds much promise, but has not been investigated in LCSs.  ... 
doi:10.1109/tnn.2008.2008334 pmid:19211355 fatcat:expa3juusnawbkz4amazefwjeq

Multiobjective real-coded bayesian optimization algorithmrevisited: diversity preservation

Chang Wook Ahn, R. S. Ramakrishna
2007 Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07  
A new selection scheme has been suggested for improving diversity performance. Empirical tests validate their effectiveness on uniformity and front-spread (i.e., diversity) of nondominated set.  ...  A diversity-preserving MrBOA (dp-MrBOA) has been designed by carefully combining all the promising components; i.e., modified sharing, dynamic crowding, and diversity-preserving selection.  ...  On the other hand, the model-based approach concentrates on effectively combining the strengths of the state-of-the-art MGEAs with the EDAs' ability of automatic discovery and exploitation of problem regularities  ... 
doi:10.1145/1276958.1277079 dblp:conf/gecco/AhnR07 fatcat:keidcaalmzfunbxhcktz2xoq4y

Optimization-based design and analysis of tailor-made ionic liquids [article]

Amirhossein Mehrkesh
2016 arXiv   pre-print
Due to their tunable nature, these molten salts have the potential to be used as solvents for variety of applications.  ...  Ionic liquids consist of a large organic cation and charge-delocalized inorganic or organic anion of smaller size and asymmetric shape.  ...  As discussed previously, one of the main driving forces for the discovery and development of new energetic materials, such as ionic salts, is the mitigation of environmental and toxicological hazards  ... 
arXiv:1612.06407v1 fatcat:aflcr3rsljabxfohamy746f6sa

Spacecraft trajectory optimization: A review of models, objectives, approaches and solutions

Abolfazl Shirazi, Josu Ceberio, Jose A. Lozano
2018 Progress in Aerospace Sciences  
Several subcategories for each step have been identified and described. Subsequently, important classifications and their characteristics have been discussed for solving the problems.  ...  The solving process is decomposed into four key steps of mathematical modeling of the problem, defining the objective functions, development of an approach and obtaining the solution of the problem.  ...  Viewing spacecraft trajectory optimization concepts as sets of general ideas allows a broader view of the literature and allows for the discovery of similarities between the structure and inner workings  ... 
doi:10.1016/j.paerosci.2018.07.007 fatcat:piypliyjxrgfbig4wu2ibgsgzm

The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms

Jianjun Hu, Erik Goodman, Kisung Seo, Zhun Fan, Rondal Rosenberg
2005 Evolutionary Computation  
and shows promise of its potential for improving other existing EAs for difficult problems.  ...  The sustainable search capability of HFC is achieved by ensuring a continuous supply and the incorporation of genetic material in a hierarchical manner, and by culturing and maintaining, but continually  ...  Acknowledgment The first author would like to thank his previous advisor, Professor Shuchun Wang of Beijing University of Aeronautics & Astronautics of China for encouraging him to use societal and biological  ... 
doi:10.1162/1063656054088530 pmid:15969902 fatcat:xbsqdshtevaq5ohochxspxdja4

Applying Formal Methods to Networking: Theory, Techniques, and Applications

Junaid Qadir, Osman Hasan
2015 IEEE Communications Surveys and Tutorials  
The lack of formalization of the Internet architecture meant limited abstractions and modularity, especially for the control and management planes, thus requiring for every new need a new protocol built  ...  of architecture and abstractions.  ...  A summary of the following discussion is tabulated in Table V for easy reference. A.  ... 
doi:10.1109/comst.2014.2345792 fatcat:oc6l6pn4tnddjbbr5v4gbbuycq

Multimedia Internet of Things: A Comprehensive Survey

Ali Nauman, Yazdan Ahmad Qadri, Muhammad Amjad, Yousaf Bin Zikria, Muhammad Khalil Afzal, Sung Won Kim
2020 IEEE Access  
We explore the importance of Quality-of-Experience (QoE) and Quality-of-Service (QoS) for multimedia transmission over IoT.  ...  We also present the need for better routing and Physical-Medium Access Control (PHY-MAC) protocols for M-IoT.  ...  Table 8 tabulates the performance summary and comparison of studies on multimedia data routing in IoT. A.  ... 
doi:10.1109/access.2020.2964280 fatcat:ilihkpik65bdvblyal6rp7tb2y

A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Ayşegül UÇAR, Yakup DEMİR, Cüneyt GÜZELİŞ
2014 Turkish Journal of Electrical Engineering and Computer Sciences  
usage, and generalization error, especially for medium to large datasets.  ...  stage to find the center and covariance matrix parameters of the ellipsoids.  ...  The results of the proposed classifiers are tabulated.  ... 
doi:10.3906/elk-1301-190 fatcat:3ooo2sziyvfl3anoj2muyj4pkm

A Model-Based Frequency Constraint for Mining Associations from Transaction Data

Michael Hahsler
2006 Data mining and knowledge discovery  
For this method, support, the co-occurrence frequency of the items which form an association, is used as the primary indicator of the associations's significance.  ...  A user-specified precision threshold is used together with the model to find local frequency thresholds for groups of itemsets.  ...  In their paper Seno and Karypis exploit this property for pruning in their FP-tree-based algorithm LPMiner.  ... 
doi:10.1007/s10618-005-0026-2 fatcat:tuui3jlumrfabjfqgzwastibgu

Advances in Trajectory Optimization for Space Vehicle Control [article]

Danylo Malyuta, Yue Yu, Purnanand Elango, Behcet Acikmese
2021 arXiv   pre-print
This survey paper provides a detailed overview of recent advances, successes, and promising directions for optimization-based space vehicle control.  ...  The search for new science and life beyond Earth calls for spacecraft that can deliver scientific payloads to geologically rich yet hazardous landing sites.  ...  Acknowledgments This work is funded in part by the National Science Foundation (Grants CMMI-1613235 and ECCS-1931744) and the Office of Naval Research (Grant N00014-20-1-2288).  ... 
arXiv:2108.02335v2 fatcat:g5peodqyj5b23g347zybbfulxi

MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR

Perfecto Herrera Boyer, Xavier Serra, Emilia Gómez
2018 Zenodo  
In the age of context-aware systems we report on user models for recommendation and for avatar generation, in addition to factors that influence music listening decisions.  ...  Automatic classification of drum sounds: a comparison of feature selection methods and classification techniques. In C. Anagnostopoulou et al. (Eds), "Music and Artificial Intelligence".  ...  Funollet for technical support, O. Meyers for technical support and proofreading, and all participants of the subjective evaluation.  ... 
doi:10.5281/zenodo.2278110 fatcat:uturvyw2gnfzdgtelvtxot3etq

MIRages: an account of music audio extractors, semantic description and context-awareness, in the three ages of MIR

Perfecto Herrera Boyer, Xavier Serra, Emilia Gómez
2018 Zenodo  
In the age of context-aware systems we report on user models for recommendation and for avatar generation, in addition to factors that influence music listening decisions.  ...  Automatic classification of drum sounds: a comparison of feature selection methods and classification techniques. In C. Anagnostopoulou et al. (Eds), "Music and Artificial Intelligence".  ...  Funollet for technical support, O. Meyers for technical support and proofreading, and all participants of the subjective evaluation.  ... 
doi:10.5281/zenodo.1882316 fatcat:6yhrlcyexrgyhhwayeau2gu7f4

Deterministically annealed design of hidden Markov model speech recognizers

A.V. Rao, K. Rose
2001 IEEE Transactions on Speech and Audio Processing  
Experiments on synthetic data and on a simplified recognizer for isolated English letters demonstrate that the DA design method can improve recognition error rates over both ML and GPD methods.  ...  DA is derived from fundamental principles of statistical physics and information theory.  ...  Spoken Letter Recognition The recognition of spoken English letters appears as an important subproblem within several applications [20] , [23] including automatic car navigation, automated directory  ... 
doi:10.1109/89.902278 fatcat:yn4y3litcrdcbfxhvxcuoxsunu
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