Use of Infeasible Solutions During Constrained Evolutionary Search: A Short Survey

Most real world optimization problems involve constraints and constraint handling has long been an area of active research. While older techniques explicitly preferred feasible solutions over infeasible ones, recent studies have uncovered some shortcomings of such strategies. There has been a growing interest in the efficient use of infeasible solutions during the course of search and this paper presents of short review of such techniques. These techniques prefer good infeasible solutions over feasible solutions during the course of search or a part of it. The review looks at major reported works over the years and outlines how these preferences have been dealt in various stages of the solution process, viz, problem formulation, parent selection/recombination and ranking/selection. A tabular summary is then presented for easy reference to the work in this area.

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