Simulation optimization with the linear move and exchange move optimization algorithm

Marcos Ribeiro Pereira Barretto, Leonardo Chwif, Tillal Eldabi, Ray J. Paul

1999 · 16 citations · 17 references

Concepts

Abstract

...is an algorithm based on a simulated annealing algorithm (SA), a relatively recent algorithm for solving hard combinatorial optimization problems. The LEO algorithm was successfully applied to a facility layout problem, a scheduling problem and a line balancing problem. In this paper we will try to apply the LEO algorithm to the problem of optimizing a manufacturing simulation model, based on a Steelworks Plant. This paper also demonstrates the effectiveness and versatility of this algorithm. We compare the search effort of this algorithm with a Genetic Algorithm (GA) implementation of the same problem.

References

17