Registered Data

[CT159]


  • Session Time & Room
    • CT159 (1/1) : 3C @D502 [Chair: Frédéric SEMET]
  • Classification
    • CT159 (1/1) : Operations research, mathematical programming (90-) / Fluid mechanics (76-)

[02513] Models for the Interdiction Problem for the Minimum Spanning Tree

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @D502
  • Type : Contributed Talk
  • Abstract : The Minimum Spanning Tree Interdiction (MSTI) problem is a two-player game between a network operator aiming to determine a Minimum Spanning Tree (MST) and an interdictor which, constrained by a budget, changes the network topology to increase the weight of a MST. Mathematical formulations for a generalization of the MSTI problem are devised, and valid inequalities are proposed. Dominance relations between the models are studied, and computational experiments are presented to evaluate their efficiencies.
  • Classification : 90-10, 90C10, 90C46, Bilevel programming
  • Format : Talk at Waseda University
  • Author(s) :
    • Luis Salazar-Zendeja (INRIA)
    • Diego Cattaruzza (Centrale Lille)
    • Martine Labbé (Université Libre de Bruxelles)
    • Frédéric Semet (Centrale Lille)

[00070] SDDS-SABC based Algorithm for solving non-linear optimization problems

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @D502
  • Type : Contributed Talk
  • Abstract : Optimizing complex non-linear constrained optimization problems is often a challenging task. This work proposes a new hybrid method called SDDS-SABC based on the Split-Detect-Discard-Shrink technique and Sophisticated ABC algorithm to optimize the said problems. The SDDS method is responsible for shrinking the full search region through a recursive breakdown and improves computational effort to focus on the subregion covering potential solutions for further decomposition. SABC plays a vital role in extracting the best solutions from the subregions whose values help detect the promising subregion. Both SDDS and SABC are sequentially repeated until the region reduces to a nominal width representing the optimization problem's global/ close to global solution(s). The Ranking and selection rules have been applied to assist optimistic decision-making with an attitude to discard the subregion covering non-promising solution (s). At the same time, the subregion with a promising solution is accepted as the current shrink region for a further split. We introduce a new initialization scheme for food sources in the SABC algorithm, which excels the existing initialization process. Develop Dual-strategy Employed bee's phase, allowing bees to split into two groups and use their respective group strategies to explore their neighbourhood while maintaining their collaborative contribution. We also introduce a new Dynamic penalty method that is free from extra parameters or factors like most existing penalty methods do to improve the optimization efficiency. To check the validity of SDDS-SABC, we have applied it to benchmark functions and engineering problems. To measure our proposed method's statistical significance against other existing heuristic optimization methods, we carried out the non-parametric Friedman and Wilcoxon rank tests.
  • Classification : 90-xx, 90-08, 90-10, optimization algorithms
  • Format : Online Talk on Zoom
  • Author(s) :
    • Dhirendra Sharma (Birla Institute of Technology Mesra, Ranchi)
    • Darakhshan Jabeen Syeda (Birla Institute of Technology Mesra, Ranchi)

[00762] On the dissolution of particles subject to natural convection

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @D502
  • Type : Contributed Talk
  • Abstract : The dissolution of a solid spherical particle is a canonical problem that finds many areas of application, including the pharmaceutical industry. In this work, we provide a generalized theory that tackles the role of natural convection in the surrounding dissolving medium. We investigate its effects on hydrodynamics and how it interacts with the diffusion during dissolution to deform the particle geometry whilst altering the release profile of pharmaceutical ingredients, a key aspect in drug delivery.
  • Classification : 76-10, 76R10, 76R50
  • Format : Talk at Waseda University
  • Author(s) :
    • Milton Assunção (University of Limerick)
    • Michael Vynnycky (University of Limerick)
    • Kevin Moroney (University of Limerick)

[00440] SIMULATION OF SHALLOW WATER EQUATIONS WITH DEPTH PERTURBATIONS AND WITH AND WHITHOUT THE CORIOLIS EFFECT

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @D502
  • Type : Contributed Talk
  • Abstract : Shallow water equations are a system of partial differential equations that describe the superficial layer of a fluid with hydrostatic equilibrium derived from the Navier-Stokes equations which are used to describe fluid movements based on characteristics such as density, etc. We perform simulations of the evolution of water surface with various bottom variations, with and without the Coriolis effect using finite differences to analyze and understand how these variations affect the fluid dynamics.
  • Classification : 76-02, 76-05, 76-10, 68R99
  • Format : Talk at Waseda University
  • Author(s) :
    • Daniel Francisco Sanabria Bernal (Universidad Militar Nueva Granada)
    • Maria Isabel Romero Rodriguez (Universidad Militar Nueva Granada)

[00254] Estimation of Directional Marginal Productivity in Supply Chain Capacity Planning and Resource Allocation: A Case Study of the Power Industry

  • Session Time & Room : 3C (Aug.23, 13:20-15:00) @D502
  • Type : Industrial Contributed Talk
  • Abstract : Marginal productivity (MP) estimation is utilized to plan for maximum output levels and to allocate resources to address fluctuating demand for fuel in the power plant sector as well as adjust the power generated in the transmission and distribution lines. It also adjusts the amount of energy produced in the transmitter and distributor lines. In this paper, a data envelopment analysis (DEA) model is introduced for estimating the directional marginal productivity (DMP) of supply chain divisions. This model measures efficiency by maximizing the marginal profit for multiple outputs in predetermined directions. The purpose of this study is to establish whether adding an extra unit of input or reallocating resources can have significant effects on economic return.
  • Classification : 90-XX, 90BXX, 90B06
  • Format : Talk at Waseda University
  • Author(s) :
    • Mojgan pouralizadeh (Islamic Azad University, Lahijan Branch,Lahijan,Iran)