A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning

Obal, Thalita Monteiro; Florentino, Helenice de Oliveira; Gevert, VG; Jones, Dylan; Ouelhadj, Djamila; Volpi, Neida Maria Patias; Wilhelm, VE

doi:10.1088/1742-6596/616/1/012012

Cited by 2 publications

(2 citation statements)

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“…One noteworthy contribution is presented in the journal [6], where a metaheuristic approach combining Genetic Algorithm (GA) and an exact approach is suggested. This approach picks beam positions and calculates dose distributions in IMRT effectively.…”

Section: Literature Surveymentioning

confidence: 99%

Vertical Electrical Soundings for Locating Groundwater Potential Zones in Osmania University Campus, Hyderabad, Telangana State, India

Kumar

Ramadass

2015

JES

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<p>Based on the resistivity investigations Osmania University Campus, precisely depth and resistivity of subsurface layers were computed, Various geoelectric sections along different profiels (I to VIII) was obtained and analyzed. The study area is showing four layered geoelectrical sections, the top soil layer of variable resisitivity value between 11.2 to 599 Ωm, whose maximum thickness is 0.75 to 4.45 m. The highly weathered second layer resistivity value varing from1.72 to 1800 Ωm. And thickness is 0.12 to 36.6m. The third fractured layer indicated by resistivity value 16.3 to 46074 Ωm and thickness is 4.9 to 87.4 m. The basement that is associated with hard rock and very high resistivities ranging to infinity. The low restivity with thick overbuden and fractured bed rock constitute the aquifer units and the series of basementt undulations identified from the geolelectrical sections are potential points for groundwater locations.</p>

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Section: Literature Surveymentioning

confidence: 99%

Vertical Electrical Soundings for Locating Groundwater Potential Zones in Osmania University Campus, Hyderabad, Telangana State, India

Kumar

Ramadass

2015

JES

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“…For example, Souza (2004), Lim et al (2008), Lim et al (2012) and Gevert et al (2013) used exact methods, whilst Bertsimas et al (2013), Breedveld (2013) and Voet (2014) used hybrid approaches to solve the problems. Obal et al (2015) proposed a matheuristic method, a hybridization of an exact method and a Genetic Algorithm (GA), and applied it to a prostate cancer case with one CT slice. Petrovic et al (2016) used a case based reasoning system (CBR) where a treatment plan for a new patient is retrieved from a case base containing patient cases treated in the past and their treatment plans.…”

Section: Introductionmentioning

confidence: 99%

Development and evaluation of a matheuristic for the combined beam angle and dose distribution problem in radiotherapy planning

Obal

Irawan

Jones

et al. 2018

IMA Journal of Management Mathematics

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Radiotherapy planning is vital for ensuring the maximum level of effectiveness of treatment. In the planning task, there are at least two connected decision problems that can be modelled and solved using operational research techniques: determining the best position of the radiotherapy machine (beam angle problem) and the optimal dose delivered through each beam (dose distribution problem). This paper presents a mathematical optimization model for solving the combined beam angle and dose distribution problems in the presence of multiple objectives. A matheuristic based on Tabu Search (called TSrad) is developed to solve realistic large-scale instances. The performance of the proposed method is assessed on two prostate cancer instances, namely a single computed tomography (CT) slice and a set of CT slices (three-dimensional problem). For the single-slice problem, the results of TSrad are compared to the optimal solutions obtained by an exact method. Our experiments show that TSrad is able to achieve optimality for some instances. For the multi-slice problem, our experiments show that TSrad produces viable solutions that can be attained in a reasonable computational time.

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A matheuristic for the selection of beam directions and dose distribution in Radiotherapy Planning

Cited by 2 publications

References 19 publications

Vertical Electrical Soundings for Locating Groundwater Potential Zones in Osmania University Campus, Hyderabad, Telangana State, India

Vertical Electrical Soundings for Locating Groundwater Potential Zones in Osmania University Campus, Hyderabad, Telangana State, India

Development and evaluation of a matheuristic for the combined beam angle and dose distribution problem in radiotherapy planning

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