Parameter estimation in kinetic models for large scale biotechnological systems with advanced mathematical programming techniques

A novel matheuristic approach is presented and tested on a well-known optimisation problem, namely, capacitated facility location problem (CFLP). The algorithm combines local search and mathematical programming. While the local search algorithm is used to select a subset of promising facilities, mathematical programming strategies are used to solve the subproblem to optimality. Proposed local search is influenced by instance-specific information such as installation cost and the distance between customers and facilities. The algorithm is tested on large instances of the CFLP, where neither local search nor mathematical programming is able to find good quality solutions within acceptable computational times. Our approach is shown to be a very competitive alternative to solve large-scale instances for the CFLP.

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Particular solutions of the PDF-to-ODF inversion problem of texture analysis by large-scale mathematical programming

Journal of Applied Crystallography ◽

10.1107/s0021889893007782 ◽

1994 ◽

Vol 27 (2) ◽

pp. 177-189 ◽

Cited By ~ 2

Author(s):

H. Schaeben ◽

J. J. Fundenberger

Keyword(s):

Mathematical Programming ◽

Texture Analysis ◽

Large Scale ◽

Inversion Problem ◽

Particular Solutions

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Benchmarking optimization methods for parameter estimation in large kinetic models

Bioinformatics ◽

10.1093/bioinformatics/bty736 ◽

2018 ◽

Vol 35 (5) ◽

pp. 830-838 ◽

Cited By ~ 24

Author(s):

Alejandro F Villaverde ◽

Fabian Fröhlich ◽

Daniel Weindl ◽

Jan Hasenauer ◽

Julio R Banga

Keyword(s):

Parameter Estimation ◽

Kinetic Models ◽

Optimization Methods

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A Nonparametric Efficiency Analysis for a Sample of Kansas Swine Operations

Journal of Agricultural and Applied Economics ◽

10.1017/s1074070800008166 ◽

1998 ◽

Vol 30 (1) ◽

pp. 189-199 ◽

Cited By ~ 23

Author(s):

William W. Rowland ◽

Michael R. Langemeier ◽

Bryan W. Schurle ◽

Allen M. Featherstone

Keyword(s):

Mathematical Programming ◽

Efficiency Analysis ◽

Firm Efficiency ◽

Economic Competitiveness ◽

Swine Operations ◽

Programming Techniques ◽

Overall Efficiency ◽

Nonparametric Efficiency ◽

Nonparametric Efficiency Analysis

AbstractThis study evaluates the economic competitiveness of a sample of Kansas farrow-to-finish operations by estimating relative firm efficiency using nonparametric mathematical programming techniques. Measures of technical, allocative, scale, economic, and overall efficiency are then related to farm characteristics to identify sources of efficiency. Results indicate that overall efficient farms produce a high quantity of pork per litter, produce a portion of their own feed grains, generate a large portion of their income from swine and other livestock enterprises, and have a lower debt-to-asset ratio.

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Computerized Selection of Optimum Machining Conditions for a Job Requiring Multiple Operations

Journal of Engineering for Industry ◽

10.1115/1.3439441 ◽

1978 ◽

Vol 100 (3) ◽

pp. 356-362 ◽

Cited By ~ 19

Author(s):

S. S. Rao ◽

S. K. Hati

Keyword(s):

Nonlinear Programming ◽

Mathematical Programming ◽

Machine Tools ◽

Machining Conditions ◽

Coupling Constraints ◽

Programming Techniques ◽

Mathematical Programming Problems ◽

The Individual ◽

The Cost ◽

Selection Of

The problem of determining the optimum machining conditions for a job requiring multiple operations has been investigated. Three objectives, namely, the minimization of the cost of production per piece, the maximization of the production rate and, the maximization of the profit are considered in this work. In addition to the usual constraints that arise from the individual machine tools, some coupling constraints have been included in the formulation. The problems are formulated as standard mathematical programming problems, and nonlinear programming techniques are used to solve the problems.

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