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In this contribution, we present a model formulation for the maximum capture problem that explicitly allows for customer segmentation using the MNL to find optimal shopping facility locations.
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We discuss a model based on the maximum capture problem for the optimal location of (K) facilities.
Finally, optimum channel geometry is identified that yields the maximum capture efficiency and separation index.
The maximum capture for a single trap was 334 cyprids over one tide.
We elected to use all six diagnostic positions to ensure maximum capture of relevant hospital events.
The predicted scaled capture length and maximum capture efficiency agreed very well with experimentally measured values for the entire range explored.
The maximum clique problem is NP-complete.
Obviously, the problem is transformed to the maximum dual problem.
The maximum common subgraph problem is transformed to the maximum clique problem in the traditional fashion [30], [31].
The maximum clique problem asks for a clique of maximum weight.
The maximum clique problem (MCP) is a classical combinatorial optimization problem in graph theory.
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