IEEE Transactions on Computers - Special issue on fault-tolerant computing
High availability path design in ring-based optimal networks
IEEE/ACM Transactions on Networking (TON)
An Availability Model for MIN-Based Multiprocessors
IEEE Transactions on Parallel and Distributed Systems
A knowledge management system for series-parallel availability optimization and design
Expert Systems with Applications: An International Journal
On the performance of artificial bee colony (ABC) algorithm
Applied Soft Computing
A cross entropy based algorithm for reliability problems
Journal of Heuristics
Penalty guided PSO for reliability design problems
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A novel clustering approach: Artificial Bee Colony (ABC) algorithm
Applied Soft Computing
Solving reliability redundancy allocation problems using an artificial bee colony algorithm
Computers and Operations Research
A modified Artificial Bee Colony algorithm for real-parameter optimization
Information Sciences: an International Journal
Computers and Operations Research
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
On the computational complexity of reliability redundancy allocation in a series system
Operations Research Letters
Multi-objective reliability-redundancy allocation problem using particle swarm optimization
Computers and Industrial Engineering
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For achieving the goal of high production and hence more profit in an organization, the system reliability is an important issue, i.e. each system/subsystem must remain operative for long duration. The industrial systems are complex in configuration so it is very difficult to analyze their failure pattern. The available information about these equipments is imprecise, incomplete, vague and conflicting. Therefore, management decisions are based on experience. The objective of this paper is to improve the design efficiency and to find the optimal policy for mean time between failures (MTBF), mean time to repair (MTTR) and related costs. This paper presents an application of Artificial Bees' Colony (ABC) in order to solve a series-parallel system (here, butter-oil processing plant) availability allocation problem. In addition to maximization of system availability, the decision maker also oftenly requires that the cost of the system is minimized simultaneously. So the objective is to obtain a minimum cost configuration of the system that satisfies the given availability constraints. ABC algorithm has been used for computing the optimal design parameters at which system cost is minimized and results are shown to be statistically significant by means of pooled t-test with PSO results.