A Guide to Portfolio-Based Planning

Mauro Vallati

doi:10.1007/978-3-642-35455-7_6

A Guide to Portfolio-Based Planning

Mauro Vallati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. However, none of these systems clearly outperforms all the others in every known benchmark domain. This observation motivated the idea of configuring and exploiting a portfolio of planners to achieve better performances than any individual planner: some recent planning systems based on this idea achieved significantly good results in experimental analysis and International Planning Competitions. Such results let suppose that future challenges of Automated Planning community will converge on designing different approaches for combining existing planning algorithms. This paper reviews existing techniques and provides an exhaustive guide to portfolio-based planning. In addition, the paper outlines open issues of existing approaches and highlights possible future evolution of these techniques.

Original language	English
Title of host publication	Multi-Disciplinary Trends in Artificial Intelligence
Subtitle of host publication	6th International Workshop, MIWAI 2012, Proceedings
Publisher	Springer Verlag
Pages	57-68
Number of pages	12
ISBN (Electronic)	9783642354557
ISBN (Print)	9783642354540
DOIs	https://doi.org/10.1007/978-3-642-35455-7_6
Publication status	Published - 1 Dec 2012
Externally published	Yes
Event	6th Multi-Disciplinary International Workshop on Artificial Intelligence - Ho Chi Minh City, Viet Nam Duration: 26 Dec 2012 → 28 Dec 2012 Conference number: 6 https://khamreang.msu.ac.th/miwai12/ (Link to Conference Website)

Publication series

Name	Lecture Notes in Computer Science
Volume	7694
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Workshop

Workshop	6th Multi-Disciplinary International Workshop on Artificial Intelligence
Abbreviated title	MIWAI'12
Country/Territory	Viet Nam
City	Ho Chi Minh City
Period	26/12/12 → 28/12/12
Internet address	https://khamreang.msu.ac.th/miwai12/ (Link to Conference Website)

Access to Document

10.1007/978-3-642-35455-7_6Licence: Unspecified

Cite this

@inproceedings{59180281a6034a419b3cb5053a621181,

title = "A Guide to Portfolio-Based Planning",

abstract = "In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. However, none of these systems clearly outperforms all the others in every known benchmark domain. This observation motivated the idea of configuring and exploiting a portfolio of planners to achieve better performances than any individual planner: some recent planning systems based on this idea achieved significantly good results in experimental analysis and International Planning Competitions. Such results let suppose that future challenges of Automated Planning community will converge on designing different approaches for combining existing planning algorithms. This paper reviews existing techniques and provides an exhaustive guide to portfolio-based planning. In addition, the paper outlines open issues of existing approaches and highlights possible future evolution of these techniques.",

keywords = "Algorithm Portfolio, Automate Planning, Parallel Portfolio, Portfolio Approach, Portfolio Structure",

author = "Mauro Vallati",

year = "2012",

month = dec,

day = "1",

doi = "10.1007/978-3-642-35455-7_6",

language = "English",

isbn = "9783642354540",

series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "57--68",

booktitle = "Multi-Disciplinary Trends in Artificial Intelligence",

address = "Germany",

note = "6th Multi-Disciplinary International Workshop on Artificial Intelligence, MIWAI'12 ; Conference date: 26-12-2012 Through 28-12-2012",

url = "https://khamreang.msu.ac.th/miwai12/",

}

Vallati, M 2012, A Guide to Portfolio-Based Planning. in Multi-Disciplinary Trends in Artificial Intelligence: 6th International Workshop, MIWAI 2012, Proceedings. Lecture Notes in Computer Science, vol. 7694, Springer Verlag, pp. 57-68, 6th Multi-Disciplinary International Workshop on Artificial Intelligence, Ho Chi Minh City, Viet Nam, 26/12/12. https://doi.org/10.1007/978-3-642-35455-7_6

TY - GEN

T1 - A Guide to Portfolio-Based Planning

AU - Vallati, Mauro

N1 - Conference code: 6

PY - 2012/12/1

Y1 - 2012/12/1

N2 - In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. However, none of these systems clearly outperforms all the others in every known benchmark domain. This observation motivated the idea of configuring and exploiting a portfolio of planners to achieve better performances than any individual planner: some recent planning systems based on this idea achieved significantly good results in experimental analysis and International Planning Competitions. Such results let suppose that future challenges of Automated Planning community will converge on designing different approaches for combining existing planning algorithms. This paper reviews existing techniques and provides an exhaustive guide to portfolio-based planning. In addition, the paper outlines open issues of existing approaches and highlights possible future evolution of these techniques.

AB - In the recent years the field of automated planing has significantly advanced and several powerful domain-independent planners have been developed. However, none of these systems clearly outperforms all the others in every known benchmark domain. This observation motivated the idea of configuring and exploiting a portfolio of planners to achieve better performances than any individual planner: some recent planning systems based on this idea achieved significantly good results in experimental analysis and International Planning Competitions. Such results let suppose that future challenges of Automated Planning community will converge on designing different approaches for combining existing planning algorithms. This paper reviews existing techniques and provides an exhaustive guide to portfolio-based planning. In addition, the paper outlines open issues of existing approaches and highlights possible future evolution of these techniques.

KW - Algorithm Portfolio

KW - Automate Planning

KW - Parallel Portfolio

KW - Portfolio Approach

KW - Portfolio Structure

UR - http://www.scopus.com/inward/record.url?scp=84873836817&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-35455-7_6

DO - 10.1007/978-3-642-35455-7_6

M3 - Conference contribution

AN - SCOPUS:84873836817

SN - 9783642354540

T3 - Lecture Notes in Computer Science

SP - 57

EP - 68

BT - Multi-Disciplinary Trends in Artificial Intelligence

PB - Springer Verlag

T2 - 6th Multi-Disciplinary International Workshop on Artificial Intelligence

Y2 - 26 December 2012 through 28 December 2012

ER -

A Guide to Portfolio-Based Planning

Abstract

Publication series

Workshop

Access to Document

Other files and links

Fingerprint

Cite this