<p><OL><LI>Metaheuristics: Intelligent Problem Solving</LI><P><EM>Marco Caserta and Stefan VoΓ</EM></P><P></P><P><LI>Just MIP it!</LI><P></P><P><EM>Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin</EM></P><P></P><P><LI>MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics</LI
Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics
β Scribed by Xin-She Yang
- Year
- 2008
- Tongue
- English
- Leaves
- 161
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
ΠΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ°;ΠΠ΅ΡΠΎΠ΄Ρ ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ;
π SIMILAR VOLUMES
<p><OL><LI>Metaheuristics: Intelligent Problem Solving</LI><P><EM>Marco Caserta and Stefan VoΓ</EM></P><P></P><P><LI>Just MIP it!</LI><P></P><P><EM>Matteo Fischetti, Andrea Lodi, and Domenico Salvagnin</EM></P><P></P><P><LI>MetaBoosting: Enhancing Integer Programming Techniques by Metaheuristics</LI
Heuristic methods are used when rigorous ones are either unknown or cannot be applied, typically because they would be too slow. A metaheuristic is a general optimization framework that is used to control an underlying problem-specific heuristic such that the method can be easily applied to diffe
Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. Condensed tableaus, minimal in size and notation, are employed for the simplex algorithm. In the context of these tableaus the beautiful termination theorem of RG Bland is proven more simply than here
<p>Mathematical elegance is a constant theme in this treatment of linear programming and matrix games. Condensed tableau, minimal in size and notation, are employed for the simplex algorithm. In the context of these tableau the beautiful termination theorem of R.G. Bland is proven more simply than h