Constrained global optimization: algorithms and applications
Constrained global optimization: algorithms and applications
A multiobjective model for locating undesirable facilities
Annals of Operations Research - Special issue on locational decisions
2-medians in trees with pos/neg weights
Discrete Applied Mathematics
Quadratic Knapsack Relaxations Using Cutting Planes
Proceedings of the 5th International IPCO Conference on Integer Programming and Combinatorial Optimization
Finding Dense Subgraphs with Semidefinite Programming
APPROX '98 Proceedings of the International Workshop on Approximation Algorithms for Combinatorial Optimization
Exact Solution of the Quadratic Knapsack Problem
INFORMS Journal on Computing
Upper bounds and exact algorithms for p-dispersion problems
Computers and Operations Research
Upper bounds and exact algorithms for p-dispersion problems
Computers and Operations Research
The p-maxian problem on a tree
Operations Research Letters
Locating a semi-obnoxious covering facility with repelling polygonal regions
Discrete Applied Mathematics
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The models within operational research concerned with locational decisions mostly either consider only the positive effects, pulling the facilities towards demand, or only negative effects, pushing the facilities away from the places affected by the facilities' nearness. In real-world situations both of these opposing forces are at work. We give an overview of a number of push-pull models, yielding alternative ways to incorporate both types of effects simultaneously. The discussion is restricted to models of combinatorial optimisation and includes indications of reduction to standard models and/or algorithmic approaches where possible.