INTEGER PROGRAMMING LAURENCE A.WOLSEY PDF

Back cover copy A practical, accessible guide to optimization problems with discrete or integer variables Integer Programming stands out from other textbooks by explaining in clear and simple terms how to construct custom-made algorithms or use existing commercial software to obtain optimal or near-optimal solutions for a variety of real-world problems, such as airline timetables, production line schedules, or electricity production on a regional or national scale. Incorporating recent developments that have made it possible to solve difficult optimization problems with greater accuracy, author Laurence A. Wolsey presents a number of state-of-the-art topics not covered in any other textbook. These include improved modeling, cutting plane theory and algorithms, heuristic methods, and branch-and-cut and integer programming decomposition algorithms. It is also a valuable reference for industrial users of integer programming and researchers who would like to keep up with advances in the field. Optimality, Relaxation, and Bounds.

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May 14, Brief Biography Laurence A. Wolsey is a recipient of the John von Neumann and Frederick W. Lanchester Prizes. His dissertation dealt with mixed integer programming and was supervised by Jeremy F. Fisher and George L. In it, the trio analyzes greedy and local improvement heuristics and a linear programming relaxation for a submodular problem.

A decade later, Wolsey and Nemhauser set out to write a graduate text and reference book for researchers and practitioners that unified theory and algorithms. In , they published Integer Programming and Combinatorial Optimization. Lanchester Prize for best publication in operations research the following year.

In his acceptance remarks, he cited influence, aid, and inspiration from D. Gomory , and John D. Little , among others. Wolsey went on to author two more fundamental textbooks in integer programming. In he published Integer Programming, a practical and accessible guide to optimization problems with discrete variables. Eight years later, he and Yves Pochet wrote a comprehensive modeling, reformulation, and optimization approach text meant for solving problems in production planning and supply chain management.

The award, presented once every three years, recognized his and Tony J. Wolsey was recognized for his long and distinguished OR career and developments made in integer programming. The duo was celebrated for their contributions to facility location and other traditional OR areas in the more than ten papers they had published together.

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