Solving of discrete multiobjective problems using an evolutionary algorithm with a repair mechanism
Jesse B. Zydallis, Gary B. Lamont · 2002
The solving of real-world multiobjective problems (MOPs) with an evolutionary algorithm (EA) is an increasing area of interest Presented in this paper is the application of a building block based EA to a real-world discrete MOP. A constraint handling method had to be designed and employed. The description of this method and the repair mechanism instrumental in repairing infeasible solutions is described in detail along with statistical analysis.