ACM Transactions on Computer Systems (TOCS)
D-timed Petri nets and modelling of timeouts and protocol
Transactions of the Society for Computer Simulation International
Simulating the effects of work-in-process on customer satisfaction in a manufacturing environment
WSC '95 Proceedings of the 27th conference on Winter simulation
ACM Computing Surveys (CSUR)
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Principles of Discrete Event Simulation
Principles of Discrete Event Simulation
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A Generalized Timed Petri Net Model for Performance Analysis
International Workshop on Timed Petri Nets
Use of Petri Nets for Performance Evaluation
Proceedings of the Third International Symposium on Measuring, Modelling and Evaluating Computer Systems
The derivation of performance expressions for communication protocols from timed petri net models
SIGCOMM '84 Proceedings of the ACM SIGCOMM symposium on Communications architectures and protocols: tutorials & symposium
ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS
ANALYSIS OF ASYNCHRONOUS CONCURRENT SYSTEMS BY TIMED PETRI NETS
Performance Analysis Using Stochastic Petri Nets
IEEE Transactions on Computers
Performance Evaluation of Asynchronous Concurrent Systems Using Petri Nets
IEEE Transactions on Software Engineering
Artificial immune algorithm for IIR filter design
Engineering Applications of Artificial Intelligence
Application areas of AIS: the past, the present and the future
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
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This paper deals with the minimization of the operational costs of business systems using the Artificial Immune System AIS. The objective function consists of service costs and waiting costs. Service cost is the cost of hiring service-providing professionals, while waiting cost is the estimate of the loss to business as some customers, not willing to wait for service, decide to go to the competing organizations. Since business systems are inherently concurrent with multiple asynchronous activities, we have used Generalized Stochastic Petri Net as the modelling tool. The Petri net-modeled system is simulated by means of a discrete event simulator and optimized by means of the Artificial Immune System. Compared to the other meta-heuristic optimization algorithms like the Genetic Algorithm, the AIS is found to be simpler in implementation and better in performance.