A Cost-Driven, High-Level Optimization of OSV Operations in the Flemish Pass

2018 ◽  
Author(s):  
Philippe Gauthier ◽  
David Molyneux
Keyword(s):  
Programming Model ◽  
Oil Extraction ◽  
Non Linear Programming ◽  
Non Linear ◽  
High Level ◽  
Non Linear System ◽  
Offshore Oil ◽  
The Impact ◽  
Pareto Frontiers ◽  
Made In

This paper presents a cost driven, high-level optimization of Offshore Supply Vessel (OSV) operations in the Flemish Pass sector. This is an area located in the offshore waters of Newfoundland where significant oil discoveries were made in recent years, but where oil extraction will pose logistical challenges due to the increased distance from shore bases. In the first part of this paper, a simple non-linear programming model is used to minimize the monthly costs to supply a hypothetical offshore oil installation located in the Flemish Pass and to assess whether hypothetical fast supply vessels make economic sense. The second part of this paper explores the application of Pareto frontiers to the non-linear system, to evaluate the impact of schedule slack on costs, but also to look at winter operations in the Flemish Pass area.

scholarly journals On Vehicle routing Problem using Mixed Integer Non-Linear Programming

2020 ◽  
pp. 32-34
Keyword(s):  
Linear Programming ◽  
Vehicle Routing Problem ◽  
Programming Model ◽  
Minimum Cost ◽  
Mixed Integer ◽  
Routing Problem ◽  
Non Linear Programming ◽  
Electric Vehicle Charging ◽  
The Family ◽  
Non Linear

The family of (VRPs) has received remarkable attention in the field of combinatorial optimization after its introduction in the paper of Dantzig and Ramser. VRPs determine a set of vehicle routes in order to accomplish transportation requests at minimum cost. In this paper we develop a mixed-integer non-linear programming model for vrp and apply it in electric vehicle charging.

Internal auditor selection using a TOPSIS/non-linear programming model

2019 ◽  
Vol 296 (1-2) ◽  
pp. 513-539 ◽  
Author(s):  
Konstantinos Petridis ◽  
Georgios Drogalas ◽  
Eleni Zografidou
Keyword(s):  
Linear Programming ◽  
Programming Model ◽  
Linear Programming Model ◽  
Internal Auditor ◽  
Non Linear Programming ◽  
Non Linear ◽  
Auditor Selection

Differential Return on Investment Optimization

2018 ◽  
pp. 189-211
Author(s):  
Reza Ghasemy Yaghin ◽  
Hadi Mosadegh ◽  
S. M. T. Fatemi Ghomi
Keyword(s):  
Programming Model ◽  
Imperialist Competitive Algorithm ◽  
Optimal Number ◽  
Integrated System ◽  
Mixed Integer ◽  
Non Linear Programming ◽  
Unconstrained Model ◽  
System A ◽  
Investment Optimization ◽  
Non Linear

A two-echelon supply chain is studied that involves a retailer who faces demand from two or more market segments and enable to set different prices and marketing expenditures and a supplier who desires to find optimal number of shipments through an integrated system. A new mixed-integer non-linear fractional programming (MINLFP) model is developed. In order to solve the resultant MINLFP model, the constrained non-linear programming model is reformulated as an unconstrained one using penalty terms. Two meta-heuristics, namely simulated annealing (SA) and imperialist competitive algorithm (ICA), are applied to solve the relaxed unconstrained model. Numerical results show that ICA can reach better solutions in comparison with SA. However, SA has the ability of providing more robust solutions which are converged to a good solution. The chapter concludes with superiority of SA.

Finite Element Approximation of Fluid Structure Interaction (FSI) Optimization in Arbitrary Lagrangian-Eulerian Coordinates

2013 ◽  
Author(s):  
Bhuiyan Shameem Mahmood Ebna Hai ◽  
Markus Bause
Keyword(s):  
Finite Element ◽  
Fluid Structure Interaction ◽  
Arbitrary Lagrangian Eulerian ◽  
Fluid Structure ◽  
Structure Interaction ◽  
Finite Element Software ◽  
Special Cases ◽  
Non Linear ◽  
Non Linear System ◽  
The Impact

Advanced composite materials such as Carbon Fiber Reinforced Plastics (CFRP) are being applied to many aircraft structures in order to improve performance and reduce weight. Most composites have strong, stiff fibers in a matrix which is weaker and less stiff. However, aircraft wings can break due to Fluid-Structure Interaction (FSI) oscillations or material fatigue. This paper focuses on the analysis of a non-linear fluid-structure interaction problem and its solution in the finite element software package DOpElib: the deal.II based optimization library. The principal aim of this research is to explore and understand the behaviour of the fluid-structure interaction during the impact of a deformable material (e.g. an aircraft wing) on air. Here we briefly describe the analysis of incompressible Navier-Stokes and Elastodynamic equations in the arbitrary Lagrangian-Eulerian (ALE) frameworks in order to numerically simulate the FSI effect on a double wedge airfoil. Since analytical solutions are only available in special cases, the equation needs to be solved by numerical methods. This coupled problem is defined in a monolithic framework and fractional-step-θ time stepping scheme are implemented. Spatial discretization is based on a Galerkin finite element scheme. The non-linear system is solved by a Newton method. The implementation using the software library package DOpElib and deal.II serves for the computation of different fluid-structure configurations.

PERFORMANCE ANALYSIS OF A JPEG ENCODER MAPPED ONTO A VIRTUAL MPSoC-NoC ARCHITECTURE USING TLM 2.0.1

2013 ◽  
Vol 22 (05) ◽  
pp. 1350036
Author(s):  
F. A. ESCOBAR-JUZGA ◽  
F. E. SEGURA-QUIJANO
Keyword(s):  
Message Passing ◽  
Programming Model ◽  
Task Graph ◽  
Modeling Tools ◽  
Networks On Chip ◽  
Hardware Description ◽  
On Chip ◽  
Network Speed ◽  
High Level ◽  
The Impact

Networks on Chip (NoCs) are commonly used to integrate complex embedded systems and multiprocessor platforms due to their scalability and versatility. Modeling tools used at the functional level use SystemC to perform hardware–software co-design and error correction concurrently, thus, reducing time to market. This work analyzes a JPEG encoding algorithm mapped onto a configurable M × N, mesh/torus, NoC platform described in SystemC with the transaction level modeling (TLM) standard; timing constraints for both, the router and network interface controller, are assigned according to a hardware description language (HDL) model written for this purpose. Processing nodes are also described as SystemC threads and their computation delays are assigned depending on the amount and cost of the operations they perform. The programming model employed is message passing. We start by describing and profiling the JPEG algorithm as a task graph; then, four partitioning proposals are mapped onto three NoCs of different size. Our analysis comprises changes in topology, virtual channel depth, routing algorithms, network speed and task-node assignments. Through several high-level simulations we evaluate the impact of each parameter and we show that, for the proposed model, most improvements come from the algorithm partitioning.

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