536 search results - page 39 / 108 » AI techniques in modelling, assignment, problem solving and ... |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
We apply a novel theoretical approach to better understand the behaviour of different types of bare-bones PSOs. It avoids many common but unrealistic assumptions often used in an...
AAAI
2008
13 years 10 months ago
2008
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
CP
2005
Springer
14 years 2 months ago
2005
Springer
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
CONSTRAINTS
2006
13 years 8 months ago
2006
We combine mixed integer linear programming (MILP) and constraint programming (CP) to minimize tardiness in planning and scheduling. Tasks are allocated to facilities using MILP an...
FLAIRS
1998
13 years 9 months ago
1998
Using an adequate representation is often the key to solve complex problems in Artificial Intelligence. Hierarchical shape representations are very convenient in domains -such as ...