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In modern chip design, cell placement is a stage in which cells representing well-defined functions are assigned physical locations, in a way that optimizes the total area and routing length. Cell placement is an NP-complete problem and the exact solution is generally far from reach for a practically sized instance. Hence, diversified heuristic algorithms are used to solve this problem. In this study, we adapted a recently introduced evolutionary search algorithm called Gravitational Search Algorithm (GSA) to this problem. Experiments show that the proposed algorithm delivers good performance; good solution quality and likelihood of optimality within reasonably small amount of time.[PUBLICATION ABSTRACT]