Multiobjective optimization of a queueing system

Verma, Rakesh

doi:10.1080/02331938608843107

Cited by 1 publication

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In multiobjective optimization more than one objective function is to be optimized simultaneously so that the Pareto optimal solution can be obtained for the problem. Verma ( 1986 ) first introduced the concept of multiobjective optimization in queueing systems. Kahag et al ( 2019 ) did a bi-objective optimization of M / M / m model for a hub allocation problem in traffic systems using a multi objective invasion weed optimization (MOIWO).…”

Section: Introductionmentioning

confidence: 99%

Optimization of a stochastic model having erratic server with immediate or delayed repair

Agarwal

Upadhyaya

et al. 2022

Ann Oper Res

View full text Add to dashboard Cite

The thought to put forward a queuing model proposed in this work was its pertinence in everyday life wherever we can see the uses of computing and networking systems. Industrial software developers and system managers can consider the results of the model to evolve their system for better results. Here we present a novel queueing model having erratic server with delayed repair and balking. Two distinct breakdowns i.e. active and passive breakdown for the system are also considered with their respective amendments. This model is closely related with the smooth functioning of the system during some internal faults (virus attack, electricity failures etc.). The performance indicators which are utilized in enhancing the service standards are obtained using supplementary variable technique. Using ANFIS soft computing technique we have compared the analytical results with those of neuro fuzzy results. Furthermore single and bi-objective minimization problems are considered and minima is obtained using particle swarm optimization and multi objective genetic algorithm respectively. Also, the minimization problems are shown as a convex programming problem to ensure the global optimality of the result. The proposed approach makes it conceivable to accomplish a relevant harmony between operational expenses and administration quality.

show abstract

Section: Introductionmentioning

confidence: 99%