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I have just devised a probability based method to solve this problem.
In this paper, we develop an immunity genetic algorithm based method to solve this problem.
In this paper a delay-driven congestion-aware global routing algorithm is developed, which is a heuristic based method to solve a multi-objective NP-hard optimization problem.
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising from the design of self-healing networks using the virtual path (VP) concept.
Therefore, we will adopt a correlation coefficient based method to solve the problem.
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A hybrid genetic algorithm-based method to solve constrained multi-objective optimization problems is proposed.
This paper presents an analytical gradient-based method to solve the problem in an effective and efficient way.
This paper presents an analytical gradient-based method to solve this problem in an efficient and effective way.
Using this approach, we propose a hierarchical clustering-based method to solve a supplier selection problem and find the proximity of the suppliers.
To capture the jet complex structure and the associated reaction dynamics, we developed a fast, multiscale and parallel 3D code using a Lagrangian particle method to solve the vorticity transport equation and an Eulerian adaptive grid-based method to solve the reactive transport equations.
Sameeullah et al. (2008) presented a genetic algorithm-based method to solve the linear FFPs.
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