By Stephan Dempe, Vyacheslav Kalashnikov, Gerardo A. Pérez-Valdés, Nataliya Kalashnykova
This booklet describes contemporary theoretical findings proper to bilevel programming more often than not, and in mixed-integer bilevel programming particularly. It describes contemporary functions in strength difficulties, akin to the stochastic bilevel optimization methods utilized in the usual gasoline undefined. New algorithms for fixing linear and mixed-integer bilevel programming difficulties are offered and explained.
From the again Cover
This booklet describes fresh theoretical findings suitable to bilevel programming as a rule, and in mixed-integer bilevel programming particularly. It describes contemporary purposes in power difficulties, reminiscent of the stochastic bilevel optimization methods utilized in the typical fuel undefined. New algorithms for fixing linear and mixed-integer bilevel programming difficulties are provided and explained.
About the Author
Stephan Dempe studied arithmetic on the Technische Hochschule Karl-Marx-Stadt and received a PhD from a similar college. this day he's professor for mathematical optimization on the TU Bergakademie Freiberg, Germany. concentration of his paintings is on parametric and nonconvex optimization.
Vyacheslav Kalashnikov studied arithmetic at Novosibirsk nation collage, he obtained his PhD in Operations learn from the Siberian department of the Academy of Sciences of the USSR and his Dr.Sc. (Habilitation measure) from the vital Economics and arithmetic Institute (CEMI), Moscow, Russia. at the present time he's Professor at Tecnológico de Monterrey, Mexico, on the CEMI, and at Sumy country college, Ukraine. the most parts of his paintings are bilevel programming, hierarchical video games and their purposes in engineering and economics.
Gerardo Alfredo Perez Valdes studied arithmetic on the Universidad Autónoma de Nuevo León and acquired his PhDs in Engineering from Tecnológico de Monterrey, Mexico, and from Texas Tech college, Lubbock, united states. this day he's Professor at college of technology and expertise in Trondheim (NTNU), Norway. the focal point of his paintings is on answer algorithms in mathematical optimization.
Nataliya Kalashnykova studied arithmetic at Novosibirsk country college and acquired her PhD in Operations learn from the Siberian department of the Academy of Sciences of the USSR. this day she is Professor on the Universidad Autónoma de Nuevo León, Mexico, and at Sumy kingdom college, Ukraine. Her services lies in stochastic optimum keep an eye on and mathematical versions of optimization.