Artficial Immune Systems and Their Applications
Artficial Immune Systems and Their Applications
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Architecture for an Artificial Immune System
Evolutionary Computation
Application areas of AIS: The past, the present and the future
Applied Soft Computing
An efficient heuristic for reliability design optimization problems
Computers and Operations Research
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
A hybrid immune simulated annealing algorithm for the job shop scheduling problem
Applied Soft Computing
Immune algorithms-based approach for redundant reliability problems with multiple component choices
Computers in Industry - Special issue: Application of genetics algorithms in industry
Design of an Artificial Immune System for fault detection: A Negative Selection Approach
Expert Systems with Applications: An International Journal
Journal of Intelligent Manufacturing
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
An artificial immune system architecture for computer securityapplications
IEEE Transactions on Evolutionary Computation
Recent Advances in Optimal Reliability Allocation
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Application of immune algorithms on solving minimum-cost problem of water distribution network
Mathematical and Computer Modelling: An International Journal
On the computational complexity of reliability redundancy allocation in a series system
Operations Research Letters
A Kriging-based algorithm to optimize production systems approximated by analytical models
Journal of Intelligent Manufacturing
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This paper uses an immune algorithm (IA) meta-heuristic optimization method to solve the problem of structure optimization of series-parallel production systems. In the considered problem, redundant machines and buffers in process are included in order to attain a desirable level of availability. A procedure which determines the minimal cost system configuration is proposed. In this procedure, multiple choices of producing machines and buffers are allowed from a list of product available in the market. The elements of the system are characterized by their cost, estimated average up and down times, productivity rates and buffers capacities. The availability is defined as the ability to satisfy the consumer demand which is represented as a piecewise cumulative load curve. The proposed meta-heuristic is used as an optimization technique to seek for the optimal design configuration. The advantage of the proposed IA approach is that it allows machines and buffers with different parameters to be allocated.