Introduce a Solution for Optimizing Interactive Genetic Algorithm to Increase Productivity

The Unequal Area Facility Layout Problem (UA-FLP) made using different methods to measure the quantity used. The plant features UA-FLP enhance productivity and can reduce between 20% to 50% of total operating costs. In this regard, an Interactive Genetic Algorithm (IGA) is presented that allows the Decision Maker (DM) to interact with the algorithm. In this method, the DM is to find the best and most appropriate solution. DM to avoid overloading, population classified into clusters and each cluster represents only one element is evaluated directly by the DM. But the problem is that the DM process to achieve the best result must pass many generations and it causes high exhaustion DM. The algorithm presented in this paper will reduce the wear on the DM. A memory of the best solutions chosen by the DM is kept as a reference. An interactive genetic algorithm is presented able to take advantage of the DM.

Keywords:

component , Interactive Genetic Algorithm , Optimization , Evolutionary computation , Decision Maker , UA-FLP