Large-scale 0–1 fuzzy goal programming and its application to reliability optimization problem
Computers and Industrial Engineering
Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach
Computers and Operations Research - Special issue: artificial intelligence, evolutionary programming and operations research
Genetic algorithm for non-linear mixed integer programming problems and its applications
Computers and Industrial Engineering
Optimal design of system reliability using interval programming and genetic algorithms
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Using discrete simulation modeling to study large-scale system reliability/availability
Computers and Operations Research
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Designing for Reliability and Safety Control
Designing for Reliability and Safety Control
Multi-level redundancy optimization in series systems
Computers and Industrial Engineering - Special issue: Selected papers from the 27th international conference on computers & industrial engineering
An efficient heuristic for series-parallel redundant reliability problems
Computers and Operations Research
A GAs based approach for mining breast cancer pattern
Expert Systems with Applications: An International Journal
On the computational complexity of reliability redundancy allocation in a series system
Operations Research Letters
RAM analysis of repairable industrial systems utilizing uncertain data
Applied Soft Computing
Reliability analysis of waste clean-up manipulator using genetic algorithms and fuzzy methodology
Computers and Operations Research
Reliability analysis of complex multi-robotic system using GA and fuzzy methodology
Applied Soft Computing
Social issue gives you an opportunity: discovering the personalised relevance of social issues
PKAW'12 Proceedings of the 12th Pacific Rim conference on Knowledge Management and Acquisition for Intelligent Systems
Mathematics and Computers in Simulation
Hi-index | 12.05 |
System availability is an important subject in the design field of industrial system as the system structure becomes more complicated. While improving the system's reliability, the cost is also on the upswing. The availability is increased by a redundancy system. Redundancy Allocation Problem (RAP) of a series-parallel system is traditionally resolved by experienced system designers. We proposed a genetic algorithm based optimization model to improve the design efficiency. The objective is to determine the most economical policy of components' mean-time-between-failure (MTBF) and mean time-to-repair (MTTR). We also developed a knowledge-based interactive decision support system to assist the designers set up and to store component parameters during the intact design process of repairable series-parallel system.