In this paper, we introduce an exact method based on constraint programming ideas for a combinatorial optimization problem that arises from the treatment planning of intensity-modulated radiotherapy-the minimum cardinality problem (MCP). The MCP is to find a decomposition of a given integer matrix into a weighted sum of binary matrices with consecutive ones, such that the number of such binary matrices is minimised. We compare our method with two recent exact methods for the same problem and a recent exact method for a special case of the problem. Numerical results are presented that indicate that our method is computationally more efficient than the three existing methods
AbstractMotivated by Intensity Modulated Radiation Therapy, we consider the problem of the minimum d...
In the present paper we consider a particular case of the segmentation problem arising in the elabor...
According to the American Cancer Society, cancer accounts for almost one quarter of the deaths in th...
We consider the problem of decomposing an integer matrix into a positively weighted sum of binary ma...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
The thesis examines an optimisation problem that appears in the treatment planning of intensity modu...
We consider combinatorial optimization problems arising in radiation therapy. Given a matrix I with ...
In this paper, we solve a combinatorial optimization problem that arises from the treatment planning...
In this paper, we consider the problem of decomposing an integer matrix into a weighted sum of binar...
Finding a delivery plan for cancer radiation treatment using multileaf collimators operating in “ste...
International audienceIn this paper, we propose a modification of Benson's algorithm for solving mul...
Several methods can be used to achieve multi-criteria optimization of radiation therapy treatment pl...
We present the analytical study of a constrained non-linear optimization problem relevant to the opt...
AbstractIntensity-modulated radiation therapy (IMRT) gives rise to systems of linear inequalities, r...
AbstractMotivated by Intensity Modulated Radiation Therapy, we consider the problem of the minimum d...
In the present paper we consider a particular case of the segmentation problem arising in the elabor...
According to the American Cancer Society, cancer accounts for almost one quarter of the deaths in th...
We consider the problem of decomposing an integer matrix into a positively weighted sum of binary ma...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
In this article, we investigate the Minimum Cardinality Segmentation Problem (MCSP), an NP-hard comb...
The thesis examines an optimisation problem that appears in the treatment planning of intensity modu...
We consider combinatorial optimization problems arising in radiation therapy. Given a matrix I with ...
In this paper, we solve a combinatorial optimization problem that arises from the treatment planning...
In this paper, we consider the problem of decomposing an integer matrix into a weighted sum of binar...
Finding a delivery plan for cancer radiation treatment using multileaf collimators operating in “ste...
International audienceIn this paper, we propose a modification of Benson's algorithm for solving mul...
Several methods can be used to achieve multi-criteria optimization of radiation therapy treatment pl...
We present the analytical study of a constrained non-linear optimization problem relevant to the opt...
AbstractIntensity-modulated radiation therapy (IMRT) gives rise to systems of linear inequalities, r...
AbstractMotivated by Intensity Modulated Radiation Therapy, we consider the problem of the minimum d...
In the present paper we consider a particular case of the segmentation problem arising in the elabor...
According to the American Cancer Society, cancer accounts for almost one quarter of the deaths in th...