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» The Complexity of Optimal Planning and a More Efficient Meth...
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KBS
2002
98views more  KBS 2002»
13 years 7 months ago
Integrating AI planning techniques with workflow management system
There is a variety of applications that can benefit from the ability to find optimal or good solutions to a proposed problem automatically. The Artificial Intelligent (AI) communi...
María Dolores Rodríguez-Moreno, Paul...
AAAI
2010
13 years 9 months ago
Search-Based Path Planning with Homotopy Class Constraints
Goal-directed path planning is one of the basic and widely studied problems in the field of mobile robotics. Homotopy classes of trajectories, arising due to the presence of obsta...
Subhrajit Bhattacharya
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
CEC
2008
IEEE
14 years 2 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...
SIGMOD
2009
ACM
190views Database» more  SIGMOD 2009»
14 years 7 months ago
Optimizing complex extraction programs over evolving text data
Most information extraction (IE) approaches have considered only static text corpora, over which we apply IE only once. Many real-world text corpora however are dynamic. They evol...
Fei Chen 0002, Byron J. Gao, AnHai Doan, Jun Yang ...