Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
CCO
2001
Springer
168views Combinatorics» more  CCO 2001»
10 years 5 months ago
Mathematical Programming Models and Formulations for Deterministic Production Planning Problems
Abstract. We study in this lecture the literature on mixed integer programming models and formulations for a specific problem class, namely deterministic production planning probl...
Yves Pochet
ICTAI
2003
IEEE
10 years 6 months ago
Partitioning of Temporal Planning Problems in Mixed Space Using the Theory of Extended Saddle Points
We study the partitioning of temporal planning problems formulated as mixed-integer nonlinear programming problems, develop methods to reduce the search space of partitioned subpr...
Benjamin W. Wah, Yixin Chen
LPNMR
2004
Springer
10 years 6 months ago
Planning with Preferences Using Logic Programming
Abstract. We present a declarative language, PP, for the specification of preferences between possible solutions (or trajectories) of a planning problem. This novel language allow...
Tran Cao Son, Enrico Pontelli
AI
2005
Springer
10 years 7 months ago
Planning for a Mobile Robot to Attend a Conference
The AAAI Mobile Robot Challenge requires robots to start from the entrance of the conference site, find their own way to the registration desk, socially interact with people and p...
Eric Beaudry, Froduald Kabanza, François Mi...
ICTAI
2008
IEEE
10 years 7 months ago
FIP: A Fast Planning-Graph-Based Iterative Planner
We present a fast iterative planner (FIP) that aims to handle planning problems involving nondeterministic actions. In contrast to existing iterative planners, FIP is built upon G...
Jicheng Fu, Farokh B. Bastani, Vincent Ng, I-Ling ...
SARA
2009
Springer
10 years 8 months ago
Common Subexpressions in Constraint Models of Planning Problems
Constraint Programming is an attractive approach for solving AI planning problems by modelling them as Constraint Satisfaction Problems (CSPs). However, formulating effective cons...
Andrea Rendl, Ian Miguel, Ian P. Gent, Peter Grego...
books