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Exact(7)
It is impossible to solve the problem exactly because of the complexity.
In this paper, we develop an approximate core for the MMKP and utilize it to solve the problem exactly.
In addition to proposing various algorithms that solve the problem exactly and approximately, we also develop an on-line, self-adjusting scheme based on the solution algorithms.
Due to the complexity of this NP-hard combinatorial optimisation problem, no efficient optimisation techniques are known to solve the problem exactly.
It is impossible to solve the problem exactly because of the complexity, so an alternative minimization type method is used to find a feasible solution.
In principle, one only can solve the problem exactly by searching over all possible sets of k blocks whether there exists a vector consistent with the measurements.
Similar(53)
The paper also describes Benders decomposition algorithms based on the new formulations for solving the problem exactly.
Unfortunately, solving the problem exactly in a reasonable time using a generic solver is only possible for small instances.
Algorithms solving the problem exactly have been designed but the running time is improved over trivial brute-force solutions only for very sparse instances.
However, as pointed out in [1], the ideal form of the method is often impractical since, in many cases, to solve the problem (1.2) exactly is either impossible or has the same difficulty as the original problem (1.1).
However, as pointed in [15], the ideal form of the method is often impractical since, in many cases, to solve the problem (2.3) exactly is either impossible or the same difficult as the original problem (2.2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com