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As you can see in Figure 6.6, this individual has f = 41.
For this problem, we are going to use small populations of 30 individuals and evolutionary times of 50 generations.
In the first phase, row reductions and column reductions are carried out.
In the second phase, the solution is optimized on iterative basis.
The assignment problem is an archetypal combinatorial optimization problem.
Writing The Results Section Of A Qualitative Thesis - The Assignment Problem
This paper presents a neural network based on a dynamic model for solving the assignment problem.
It is also shown that the proposed neural network model is stable in the sense of Lyapunov and it is globally convergent to an exact optimal solution of the assignment problem. Several illustrative examples are provided to show the feasibility and the efficiency of the proposed method in this paper.
An assignment problem can be easily solved by applying Hungarian method which consists of two phases.
In TAP there are n tasks that must be accomplished by using only n workers.
Each worker performs better at some tasks and worse at others and obviously some workers are better than others at certain tasks.