A heuristic approach to find the global optimum of function


Toksari M. D.

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, cilt.209, ss.160-166, 2007 (SCI İndekslerine Giren Dergi) identifier

  • Cilt numarası: 209 Konu: 2
  • Basım Tarihi: 2007
  • Doi Numarası: 10.1016/j.cam.2006.10.074
  • Dergi Adı: JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
  • Sayfa Sayıları: ss.160-166

Özet

This paper presents the modified ant colony optimization (MACO) based algorithm to find global optimum. Algorithm is based on that solution space of problem is restricted by the best solution of the previous iteration. Furthermore, the proposed algorithm is that variables of problem are optimized concurrently. This algorithm was tested on some standard test functions, and successful results were obtained. its performance was compared with the other algorithms, and observed to be better. (C) 2006 Elsevier B.V. All fights reserved.