assignStudents: Assigns students to schools

In j-d-miller/d96assign: Assigns students to schools based on shortest walking distance

Assigns students to schools

Description

assignStudents assigns students to schools to minimize total walking distance subject to constraints on class sizes and the number of sections per school. The user specifies the minimum and maximum number of students that can be assigned to each school. If penalty is not zero, the function that is minimized is the sum of all walking distances plus penalty times the sum of all walking distances squared

Usage

assignStudents(kg, minA = 20, minB = 10, minC = 20, minH = 5,
  maxA = 40, maxB = 40, maxC = 60, maxH = 1000, penalty = 0)

Arguments

kg	a data frame containing the nx4 distance matrix
minA	minimum number of kindergarten students to assign to Ames
minB	minimum number of kindergarten students to assign to Blythe
minC	minimum number of kindergarten students to assign to Central
minH	minimum number of kindergarten students to assign to Hollywood
maxA	maximum number of kindergarten students to assign to Ames
maxB	maximum number of kindergarten students to assign to Blythe
maxC	maximum number of kindergarten students to assign to Central
maxH	maximum number of kindergarten students to assign to Hollywood
penalty	adds a term that is quadtaric in distance squared to the walking distance matrix. makes solution more compact

Value

assignment of students to schools which minimizes total walking distance subject to space constraints.

j-d-miller/d96assign documentation built on March 31, 2022, 7:36 a.m.