Earticle

초록

영어

In this paper, we described a genetic algorithm that allows finding the optimal configuration for a stochastic discrete events simulator when multiple performance measures have to be considered simultaneously. This type of algorithmic approach provide particularly interesting when the decision making authority is shared by multiple decision makers with conflicting priorities. The optimal solutions found with this algorithm typically represent a middle ground solution that may be acceptable to all the involved parties. The multi-criteria approach relies on an interval based variant of the Promethee method, which is combined with a feasibility score to obtain the ranking of the chromosomes within a certain generation of the genetic algorithm.

목차

Abstract
 1. Introduction
 2. Optimization Problem
  2.1 The Promethee and Promethee-i MCDM-Methods
  2.2 Genetic Algorithm
 3. The Simulation Model and the Performance Measures
 4. Conclusion
 References

키워드

저자

• Chandrashekhar Meshram [ Department of Mathematics R.T.M. Nagpur University, Nagpur, India ]
• Shyam Sundar Agrawal [ Department of Mathematics Vikash College of Engineering for Women, Vikash Enclave, Barhaguda Bargarh ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605