NDLI: A 'non-model building' approach to solving hierarchical functions

Content Provider	IEEE Xplore Digital Library
Author	Diaz, F.P. de Leon, E.P. Padilla, A. Meija, M.
Copyright Year	2003
Description	Author affiliation: Depto. de Sistemas Electronicos, Univ. Autonoma de Aguascalientes, Mexico (Diaz, F.P.; de Leon, E.P.; Padilla, A.)
Abstract	The hierarchical Bayesian optimization algorithm (hBOA) by M. Pelikan and D.E. Goldberg (2001), used diversity preservation along with the original Bayesian optimization algorithm BOA by M. Pelikan et al. (1999) to tackle boundedly difficult hierarchical functions. However, model building can be an expensive process, and a pertinent question is the possibility of developing operators that can solve certain classes of hierarchical functions in the traditional GA domain. This study shows, that by following a three-step approach to hierarchical problem solving - effective linkage learning, merging of low-order BBs, and diversity preservation - it is possible to use competent (non-model building) selec-to-recombinative GAs to solve certain classes of hierarchical functions. Experimental bounds were found on the type of hierarchical problems that could be solved, and perturbation based linkage detection was found to be the limiting factor.
Sponsorship	Soc. Mexicana de Cienca de la Computacion Consejo Nacional de Ciencia y Tecnologia Nat. Sci. Found. Univ. Autonoma de Tlaxcala Univ. Texas at El Paso Univ. Americas, Puebla Inst. Technologico Autonomo de Mexico Laboratorio Nacional de Inf. Avanzada AC Centro de Investigacion Cientifica y de Educacion Superior de Ensenada Univ. Michoacana de San Nicolas de Hidalgo Sun Microsyst. Microsoft
Starting Page	207
Ending Page	214
File Size	304008
Page Count	8
File Format	PDF
ISBN	0769519156
DOI	10.1109/ENC.2003.1232896
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-12
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Couplings Testing Problem-solving Bayesian methods Decision making Merging Perturbation methods
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

The revisiting problem in mobile robot map building: A hierarchical Bayesian approach (2003)

An approach to the design of distributed Bayesian detection structures

Hierarchical Decision Making and Decision Fusion

Special tactics: A Bayesian approach to tactical decision-making

A hierarchical Bayesian model of human decision-making on an optimal stopping problem (2006)

Hierarchical DSmP transformation for decision-making under uncertainty

On the relation between robust and Bayesian decision making (2004)

A meta-theoretic approach to modeling and simulation

A hierarchical driver model

A 'non-model building' approach to solving hierarchical functions

Similar Documents

The revisiting problem in mobile robot map building: A hierarchical Bayesian approach (2003)

An approach to the design of distributed Bayesian detection structures

Hierarchical Decision Making and Decision Fusion

Special tactics: A Bayesian approach to tactical decision-making

A hierarchical Bayesian model of human decision-making on an optimal stopping problem (2006)

Hierarchical DSmP transformation for decision-making under uncertainty

On the relation between robust and Bayesian decision making (2004)

A meta-theoretic approach to modeling and simulation

A hierarchical driver model

A 'non-model building' approach to solving hierarchical functions