Optimal pricing for mobile manufacturers in competitive market using genetic algorithm

So Young Sohn, Tae Hee Moon, Kim Jong Seok

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


As mobile communication market grows rapidly, in Korea, competitive strategies in mobile phone manufacturers are crucial. However, the way the mobile phone manufacturers adopt a pricing policy is not flexible enough to maximize the profit under the competitive environment. In this paper, we derive a dynamic pricing model for considering the price change of product itself but also the relative price change of competing products. Scenario analysis is performed to find optimal pricing policy based on genetic algorithm. Our proposed model is expected to provide adaptable pricing policy in a competitive market for a mobile phone set.

Original languageEnglish
Pages (from-to)3448-3453
Number of pages6
JournalExpert Systems with Applications
Issue number2 PART 2
Publication statusPublished - 2009 Mar

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence


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