Back to Results
First PageMeta Content
Linear programming / Operations research / Euler–Lagrange equation / Function / Mathematics / Mathematical analysis / Convex optimization


Reviving Integer Programming Approaches for AI Planning: A Branch-and-Cut Framework Menkes van den Briel Thomas Vossen
Add to Reading List

Document Date: 2012-10-29 18:16:32


Open Document

File Size: 212,95 KB

Share Result on Facebook

City

Mountain View / /

Company

John Wiley and Sons. / IP / ILOG Inc. / Boulder CO / /

/

Event

Reorganization / /

Facility

Business Arizona State University University of Colorado / /

IndustryTerm

branchand-bound algorithms / defined network / plan solution / search performance / change network / heuristic search / branch-andbound algorithm / feasible solution / shortest path algorithm / directional search / obvious solution / branch-and-cut algorithm / branch-and-bound algorithm / search direction / Branch-and-cut algorithms / purpose algorithm / /

OperatingSystem

Linux / /

Organization

Artificial Intelligence / Subbarao Kambhampati∗ Department of Computer Science Arizona State University Tempe AZ / National Science Foundation / United Nations / Arizona State University University / University of Colorado / Department of Industrial Engineering Leeds School / Institut f¨ / Computational Intelligence / /

Person

Vidal / V / Thomas Vossen / Van den Briel / /

/

Position

satisfiability-based planner / Downward planner / translator / wb / planner / salesman / LCGP planner / /

Product

Koss KSC 10 Headphone/Headset / /

ProvinceOrState

a / Colorado / /

Technology

t -1 / purpose algorithm / artificial intelligence / Linux / shortest path algorithm / Branch-and-cut algorithms / planning algorithm / branchand-bound algorithms / branch-and-cut algorithm / LP-based branch-and-bound algorithm / branch-andbound algorithm / /

SocialTag