advanced integer programming applications
airline disruption planning
Arc Chains
Assortment Planning
Category=PBT
Category=UMB
Chartered Vessels
combinatorial optimization
computational
Consumption Rates
Cutting Plane Method
Data Sets
Duality Gap
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
feasible
Fleet Network
function
Generalized Assignment Problem
knapsack
lagrangian
LGR
mathematical modeling
Minor Frame
Mixed Integer Programming Model
Mod Mp
Network Flow Problems
nonlinear programming techniques
objective
Optimal Fractional Solution
Package Quantity
Pricing Subproblem
Proposed Modeling Approach
region
relaxation
results
retail inventory optimization
Rolling Horizon Heuristic
Schedule Perturbations
Sec
solution
Storage Level
supply chain logistics
Tabu Search
Transshipment Depots
Valid Inequalities
Product details
- ISBN 9780367392116
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 19 Sep 2019
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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Integer Programming: Theory and Practice contains refereed articles that explore both theoretical aspects of integer programming as well as major applications.
This volume begins with a description of new constructive and iterative search methods for solving the Boolean optimization problem (BOOP). Following a review of recent developments on convergent Lagrangian techniques that use objective level-cut and domain-cut methods to solve separable nonlinear integer-programming problems, the book discusses the generalized assignment problem (GAP). The final theoretical chapter analyzes the use of decomposition methods to obtain bounds on the optimal value of solutions to integer linear-programming problems.
The first application article contains models and solution algorithms for the rescheduling of airlines following the temporary closure of airports. The next chapters deal with the determination of an optimal mix of chartered and self-owned vessels needed to transport a product. The book then presents an application of integer programming that involves the capture, storage, and transmission of large quantities of data collected during testing scenarios involving military applications related to vehicles, medicine, equipment, missiles, and aircraft.
The next article develops an integer linear-programming model to determine the assortment of products that must be carried by stores within a retail chain to maximize profit, and the final article contains an overview of noncommercial software tools for the solution of mixed-integer linear programs (MILP). The authors purposefully include applications and theory that are usually not found in contributed books in order to appeal to a wide variety of researchers and practitioners.
John K. Karlof
