Evolutionary problem decomposition techniques divide a complex problem into simpler subproblems, evolve individuals to produce subcomponents that solve the subproblems, and then a...
Heather Goldsby, Sherri Goings, Jeff Clune, Charle...
Despite a big progress in solving planning problems, more complex problems still remain hard and challenging for existing planners. One of the most promising research directions i...
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
New methods to generate hard random problem instances have driven progress on algorithms for deduction and constraint satisfaction. Recently Achlioptas et al. (AAAI 2000) introduc...
Henry A. Kautz, Yongshao Ruan, Dimitris Achlioptas...
— The tokamak concept for magnetic confinement of fusion plasmas is now quite mature scientifically. This maturity is evidenced by the ongoing worldwide effort to design and cons...
M. L. Walker, Eugenio Schuster, Didier Mazon, Didi...