Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search

スポンサーリンク

概要

• 論文の詳細を見る

• The redundancy allocation problem for a seriesparallel system is a well known as one of NP-hard combinatorial problems and it generally belongs to the class of nonlinear integer programming (nIP) problem. Many researchers have developed the various methods which can be roughly categorized into exact solution methods, approximate methods, and heuristic methods. Though each method has both advantages and disadvantage, the heuristic methods have been received much attention since other methods involve more computation effort and usually require larger computer memory. Genetic algorithm (GA) as one of heuristic optimization techniques is a robust evolutionary optimization search technique with very few restrictions concerning with the various design problems. However, GAs cannot guarantee the optimality and sometimes can suffer from the premature convergence situation of its solution, because it has some unknown parameters and it neither uses a priori knowledge nor exploits the local search information. To improve these problems in GA, this paper proposes an effective hybrid genetic algorithm based on, 1) fuzzy logic controller (FLC) to automatically regulate GA parameters and 2) incorporation of the iterative hill climbing method to perform local exploitation around the near optimum solution for solving redundancy allocation problem. The effectiveness of this proposed method is demonstrated by comparison results with other conventional methods on two different types of redundancy allocation problems.

• 2002-04-01

著者

• Gen Mitsuo

  Dept. of Industrial & Systems Engineering Ashikaga Institute of Technology

• Gen Mitsuo

  Dept. Of Industrial And Information Systems Eng. Ashikaga Institute Of Technology

• LEE ChangYoon

  SCM & Logistics Research Center, Hanyang University

• YUN YoungSu

  School of Automotive, Industrial & Mechanical Eng., Taegu University

• Yun Y

  School Of Automotive Industrial & Mechanical Eng. Taegu University

関連論文

• Reliability Optimization Design for Complex Systems by Hybrid GA with Fuzzy Logic Control and Local Search
• PERFORMANCE EVALUATION OF COMPUTER SYSTEM WITH FAILURE BASED ON FUZZY SET THEORY
• Evolutionary Computation for Multiobjective Chance-constrained Solid Transportation Problem
• Reliability Optimization Design Using Hybrid NN-GA with Fuzzy Logic Controller
• Evolutionary Method for Facility Location Problem

スポンサーリンク