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Applying the Negative Selection Algorithm for Merger and Acquisition Target Identification Theory and Case Study
2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence
In this paper, we propose a new methodology based on the Negative Selection Algorithm that belongs to the field of Computational Intelligence (specifically, Artificial Immune Systems -AIS) to identify takeover targets. Although considerable research based on customary statistical techniques and some contemporary Computational Intelligence techniques have been devoted to identify takeover targets, most of the existing studies are based upon multiple previous mergers and acquisitions. Contrary todoi:10.1109/brics-cci-cbic.2013.107 fatcat:bju4zr4w5nadtc5moaak5bbthy