Metaheuristics support managers in decision-making with robust
tools that provide high-quality solutions to important applications
in business, engineering, economics, and science in reasonable time
frames, but finding exact solutions in these applications still
poses a real challenge. However, because of advances in the fields
of mathematical optimization and metaheuristics, major efforts have
been made on their interface regarding efficient hybridization.
This edited book will provide a survey of the state of the art
in this field by providing some invited reviews by well-known
specialists as well as refereed papers from the second
Matheuristics workshop to be held in Bertinoro, Italy, June 2008.
Papers will explore mathematical programming techniques in
metaheuristics frameworks, and especially focus on the latest
developments in Mixed Integer Programming in solving real-world
problems.
General
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