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[CT162]

[01418] Non-linear Particle Swarm Optimization Algorithm for Non-linear Fixed-charge Transportation Problems

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Industrial Contributed Talk
  • Abstract : The non-linear fixed-charge transportation problems are one of the challenging NP-hard problems. Hence, a new non-linear particle swarm optimization algorithm (NPSO) with new inertia weight and acceleration coefficients have been introduced that not only explores the search space but also maintains the feasibility condition of the transportation problem. The performance of the proposed NPSO is compared with its existing variants. Also, some benchmarks problems from the literature have been solved and the results are compared.
  • Classification : 90B06, 90C30, 90C90, 90C06
  • Author(s) :
    • Shivani Saini (Dr B R Ambedkar National Institute of Technology Jalandhar (INDIA))
    • Deepika Rani (Dr B R Ambedkar National Institute of Technology Jalandhar (INDIA))

[01609] Stochastic Modelling for Energy Efficiency in LTE-5G Networks

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : 5G networks deal with high-frequency data rates, ultra-low latency, more reliability etc. To optimize energy in UE, long-term evolution (LTE)-5G networks adopt the Discontinuous Reception (DRX) Scheme with a fixed number of short sleep. Hence, we have modeled a new modified DRX (MD-DRX) for LTE-5G networks and obtained the system's optimal energy-saving and throughput. To get the energy efficiency for LTE-5G networks, the trade-off between average energy consumption/ energy-saving and throughput is shown.
  • Classification : 90B18, 90B22, 68M20
  • Author(s) :
    • Priyanka Kalita (Amity University Noida)
    • Dharmaraja Selvamuthu (Indian Institute of Technology Delhi)

[02497] Optimal Control Policy for Software supported Fault Tolerant System with Service Interruption

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Industrial Contributed Talk
  • Abstract : This investigation deals with the performance modeling of Markovian fault tolerant machining system with imperfect switching and reneging. The system operates under the care of failure prone software and multiple reliable servers and skilled operator for the repair of system software. Using Runge-Kutta IV method, the system state probabilities and other key performance indices are obtained. Adaptive Neuro-Fuzzy Inference Systems is employed to compare the numerical results obtained by R-K method.
  • Classification : 90B22, 90B22, 90B25, 60K25, 60K30
  • Author(s) :
    • Madhu Jain (Indian Institute of Technology Roorkee)
    • Mayank Singh (Indian Institute of Technology Roorkee)

[02418] A two-stage method for an industrial NP-hard bin packing problem

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Industrial Contributed Talk
  • Abstract : Our industrial problem consists of building batch annealings from a sample of steel coils. We have to consider all the rules/constraints related to the characteristics of coils and constraints related to technology. The objective is to ensure the annealing of coils at the minimum cost. This problem is a simultaneous NP-hard bin packing type. A two-stage method is developed in this paper to address this problem: stage one refers to a smart enumeration of all possible and feasible bins. Then, the second stage will consist of finding the optimal solution for an ILP.
  • Classification : 90B30, 90C10
  • Author(s) :
    • Abdelghani Bouras (Industrial Engineering Department, College of Engineering, Al lFaisalUniversity)

[02269] Mathematical model for prioritize patient in operating room block scheduling

  • Session Date & Time : 3E (Aug.23, 17:40-19:20)
  • Type : Contributed Talk
  • Abstract : We concentrate on the scheduling problem in surgical operating room that involves limited equipment and surgical specialities. Our objective is develop a feasible schedule that consider resources utilization, prioritized patients in health risk condition and availability of the surgical specialities teams. Our approach is the assignation of operating room by block using week horizon with different relative weight. A mathematical model is proposed to optimum the operating room scheduling performance.
  • Classification : 90B35
  • Author(s) :
    • Syarifah Zyurina Nordin (Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia)