A New Solution for Maxterm Problem in Trigonometric Functions by Simulated Annealing Algorithm

نویسندگان

  • Farhad Soleimanian Gharehchopogh
  • Hadi Najafi
  • Kourosh Farahkhah
چکیده

Mathematics has always been in search for improvement which captures a large area in computer science, Economics, management and so on. Trigonometric functions are among mathematic functions which apply for a large area in improving and to find Maxterm in these functions has always been important because of their wavy state. And there are different methods as how to get their improving status. Since former methods like Hill-climbing and gradient ascent methods suffer from local optimization the present paper applies simulated annealing to remove the problem. The algorithm avoids being stuck in local minimum through an Error probability coefficient and moves towards an optimal answer. Simulated Annealing is used to get the most optimal condition ABSTRACT

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عنوان ژورنال:
  • IJAEC

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2013