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» A lookahead strategy for solving large planning problems
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CEC
2008
IEEE
15 years 4 months ago
Solving large scale global optimization using improved Particle Swarm Optimizer
—As more and more real-world optimization problems become increasingly complex, algorithms with more capable optimizations are also increasing in demand. For solving large scale ...
Sheng-Ta Hsieh, Tsung-Ying Sun, Chan-Cheng Liu, Sh...
AAI
2004
89views more  AAI 2004»
14 years 9 months ago
Distributed And Devolved Work Allocation Planning
Work allocation planning is a vital and notoriously difficult task in areas characterised by large work forces, contiguous and sometimes overlapping shifts, regulatory and corpora...
Graham Winstanley
AI
1999
Springer
14 years 9 months ago
Learning Action Strategies for Planning Domains
There are many different approaches to solving planning problems, one of which is the use of domain specific control knowledge to help guide a domain independent search algorithm. ...
Roni Khardon
CP
2010
Springer
14 years 8 months ago
Heuristics for Planning with SAT
Generic SAT solvers have been very successful in solving hard combinatorial problems in various application areas, including AI planning. There is potential for improved performanc...
Jussi Rintanen
AIPS
2009
14 years 10 months ago
Ant Search Strategies For Planning Optimization
In this paper a planning framework based on Ant Colony Optimization techniques is presented. It is well known that finding optimal solutions to planning problems is a very hard co...
Marco Baioletti, Alfredo Milani, Valentina Poggion...