This paper introduces a new constraint-handling method called Inverted-Shrinkable PAES (IS-PAES), which focuses the search effort of an evolutionary algorithm on specific areas of the feasible region by shrinking the constrained space of single-objective optimization problems. IS-PAES uses an adaptive grid as the original PAES (Pareto Archived Evolution Strategy). However, IS-PAES does not have the serious scalability problems of the PAES. The viability of the proposed approach is validated with several examples taken from the standard evolutionary and engineering optimization literature.