An Intelligent Model for Solving Manpower Scheduling Problems
  The manpower scheduling problem is a critical research field in the resource
management area. Based on the existing studies on scheduling problem solutions,
this paper transforms the manpower scheduling problem into a combinational
optimization problem under multi-constraint conditions from a new perspective.
It also uses logical paradigms to build a mathematical model for problem
solution and an improved multi-dimensional evolution algorithm for solving the
model. Moreover, the constraints discussed in this paper basically cover all
the requirements of human resource coordination in modern society and are
supported by our experiment results. In the discussion part, we compare our
model with other heuristic algorithms or linear programming methods and prove
that the model proposed in this paper makes a 25.7% increase in efficiency and
a 17% increase in accuracy at most. In addition, to the numerical solution of
the manpower scheduling problem, this paper also studies the algorithm for
scheduling task list generation and the method of displaying scheduling
results. As a result, we not only provide various modifications for the basic
algorithm to solve different condition problems but also propose a new
algorithm that increases at least 28.91% in time efficiency by comparing with
different baseline models.
