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For obtaining optimal solution of the proposed model, an integer programming-based method is presented.
In order to identify the parameters of the proposed fractional order model, an integer order approximation of the fractional order operator is applied and a state-space structure is presented for using the output-error identification algorithm.
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Lagrangian decomposition is used to compose the model into an integer programming subproblem and sets of single variable concave minimization subproblems that are solved using simulation-optimization.
We implemented the model as an integer linear-programming problem to select additional areas to complement existing reserves and create new portfolios that are bioclimatically representative across a range of climatic scenarios.
Typically, IM is the problem that given a graph G as a social network, an influence spread model and an integer k select the top k nodes as seeds to maximize the expected influence spread (EIS) through G.
Subsequently, we transformed the regression coefficients of the variables in the final model to an integer value for each variable according to its contribution to the risk estimation.
Li et al. further formulated this metabolic network-based drug target identification model as an integer linear programming (ILP) which ensures that optimal solutions can be exactly and efficiently obtained without any heuristic manipulation [ 26].
The formulated model is an integer-programming model.
The problem is modeled as an Integer Linear Program (ILP).
The problem is modeled as an integer non-linear optimisation problem and for which some heuristic methods are designed.
For the three information scenarios, we deploy different decision support models, namely an integer program in case of perfect information, a number of decision rules in case of partial information, and a default strategy in case of no information.
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