scholarly journals Hybrid-Type Approach for Plant Layout Design with a Constraint-Directed Search and a Mathematical Optimization Technique.

1992 ◽  
Vol 58 (547) ◽  
pp. 967-974
Author(s):  
Kikuo FUJITA ◽  
Shinsuke AKAGI ◽  
Hiroaki HASE ◽  
Tetsundo NAKATOGAWA ◽  
Makoto TAKEUCHI
Keyword(s):  
Optimization Technique ◽  
Mathematical Optimization ◽  
Layout Design ◽  
Directed Search ◽  
Plant Layout ◽  
Hybrid Type ◽  
Mathematical Optimization Technique

Hybrid Approach to Plant Layout Design Using Constraint-Directed Search and an Optimization Technique

1994 ◽  
Vol 116 (4) ◽  
pp. 1026-1033 ◽  
Author(s):  
K. Fujita ◽  
S. Akagi ◽  
T. Nakatogawa
Keyword(s):  
Nuclear Power ◽  
Optimization Technique ◽  
Hybrid Approach ◽  
Mathematical Optimization ◽  
Layout Design ◽  
Object Oriented Programming ◽  
Directed Search ◽  
Search Procedure ◽  
Plant Layout ◽  
Whole Space

A hybrid type approach to plant layout design is presented using a constraint-directed search procedure and a mathematical optimization technique. In layout design, a plant must be arranged to satisfy spatial constraints imposed by its components. In our approach the whole space of a plant building is divided into the finite compartments with a modular size in order to separate the description of the layout into the combinatorial part and the sizing part. The approach consists of two steps. In the first step, a constraint-directed search procedure is applied to find a combinatorial solution among plant components so as to satisfy the spatial layout conditions. In the second step, an optimization technique is applied to determine the actual dimensions of components so as to minimize a measure of an overall size of a plant building considering size of components. The approach is implemented with an object-oriented programming environment and the system can automatically produce a layout from the declarative representation of layout conditions. Finally, the approach has been applied to the design of a nuclear power plant in order to check its validity and effectiveness.

Hybrid Approach to Plant Layout Design Using Constraint-Directed Search and an Optimization Technique

1991 ◽  
Author(s):  
Kikuo Fujita ◽  
Shinsuke Akagi ◽  
Hiroaki Hase ◽  
Tetsundo Nakatogawa ◽  
Makoto Takeuchi
Keyword(s):  
Nuclear Power ◽  
Optimization Technique ◽  
Hybrid Approach ◽  
Mathematical Optimization ◽  
Layout Design ◽  
Mixed Integer ◽  
Directed Search ◽  
Search Procedure ◽  
Plant Layout ◽  
Whole Space

Abstract A hybrid type approach to plant layout design is presented with a constraint-directed search procedure and a mathematical optimization technique. In layout design, a plant must be arranged to satisfy spatial constraints imposed by its components. In our approach the whole space of a plant building is divided into the finite compartments with a modular size in order to separate the description of the layout into the combinational part and the dimensional part. According to it, the approach consists of two steps. In the first step, a constraint-directed search procedure is applied for fixing the combinational relations among plant components so as to satisfy the spatial layout conditions. In the second step, an optimization technique is applied for determining the actual dimensions of compartments so as to minimize size of a plant building considering size of components. In the optimization, mixed-integer programming and sequential linear programing are combined and the formulation is carried out automatically from the result of the first step. This hybrid approach has been applied to the design of a nuclear power plant in order to check its validity and effectiveness.

Calibration of an Activated Sludge Model Based on Human Expertise and on a Mathematical Optimization Technique – a Comparison

1992 ◽  
Vol 25 (6) ◽  
pp. 141-148 ◽  
Author(s):  
Oskar Wanner ◽  
Jürg Kappeier ◽  
Willi Gujer
Keyword(s):  
Activated Sludge ◽  
Optimization Technique ◽  
Mathematical Optimization ◽  
The Other ◽  
Sequential Procedure ◽  
Alternative Methods ◽  
Model Parameters ◽  
Activated Sludge Model ◽  
Parameter Values ◽  
Mathematical Optimization Technique

Two alternative methods, which both can be used to estimate some of the kinetic parameters of the IAWPRC Activated Sludge Model Nr. 1, are compared. By one method, which is based on professional experience and expertise, the unknown parameter values are determined one after the other by a sequential procedure. By the other method, the parameter values are determined simultaneously by use of a mathematical optimization technique. Both methods allow a good fit of a set of 25 experimental oxygen respiration rate time-series and yield accurate estimates of the model parameters. The sequential procedure can readily be employed for the evaluation of single experiments. The optimization technique is more suitable for the evaluation of larger data sets and allows for additional analysis of the data.

scholarly journals Fuzzy Systems for Multicriteria Decision Making

2010 ◽  
Vol 13 (3) ◽  
Author(s):  
Fábio J. J. Santos ◽  
Heloisa A. Camargo
Keyword(s):  
Fuzzy Set ◽  
Fuzzy Systems ◽  
Optimization Technique ◽  
Mathematical Optimization ◽  
Multicriteria Decision Making ◽  
Fuzzy Topsis ◽  
Uncertain Environments ◽  
Mathematical Optimization Technique ◽  
Mathematical Process

One of the techniques used to support decisions in uncertain environments is the Fuzzy TOPSIS method. However, from crisp data, this method considers only one fuzzy set in their analysis, besides being a strictly mathematical optimization technique. This article proposes extensions to the original Fuzzy TOPSIS, exploring two distinct versions: to increase the method with the necessary resources for the mathematics process to consider the membership values of the input data in more than one fuzzy set and to aggregate to method the empiric knowledge of an expert represented through fuzzy rules. In such case, the method, named by Fuzzy F-TOPSIS (Fuzzy Flexible TOPSIS), is proposed with the objective of improving the Fuzzy TOPSIS ability to deal with uncertainty through the combination of the mathematical process involved in the original Fuzzy TOPSIS with the expert empirical knowledge. A case study is presented to validate the proposal.

A mathematical optimization technique for managing selective catalytic reduction for coal-fired power plants

2011 ◽  
Vol 2 (2) ◽  
pp. 171-188 ◽  
Author(s):  
Passakorn Phananiramai ◽  
Jay M. Rosenberger ◽  
Victoria C. P. Chen ◽  
Seoung Bum Kim ◽  
Melanie L. Sattler
Keyword(s):  
Selective Catalytic Reduction ◽  
Power Plants ◽  
Catalytic Reduction ◽  
Optimization Technique ◽  
Mathematical Optimization ◽  
Mathematical Optimization Technique

scholarly journals Mathematical Optimization Model Technique for Network Congestion Control in Global System for Mobile Communications

2019 ◽  
pp. 51-61
Author(s):  
Remigius Okeke Aja ◽  
Emeka Uchendu Agwu ◽  
Sussan Ijeoma Ezeh ◽  
Udochi John Stephen
Keyword(s):  
Mobile Communications ◽  
Optimization Technique ◽  
Mathematical Optimization ◽  
Second Order ◽  
Necessary Condition ◽  
Network Congestion ◽  
Mobile Telecommunication ◽  
Global System ◽  
Mathematical Optimization Technique ◽  
Model Technique

The introduction of Global System for Mobile Communication (GSM) in Nigeria is responsible for significant tremendous teledensity ratio increment, which results in network congestion in most busy areas. In this paper, we applied a Second Order Necessary Condition (a Mathematical Optimization Technique) as a tool in solving the problem of network congestion. One of the GSM providers; Mobile Telecommunication of Nigeria (MTN), was used to demonstrate the usefulness of Second Order Necessary Condition to the control of network congestion at Michael Okpara University of Agriculture, Umudike (MOUAU). Free flow of connection between mobile phone users at different locations within the area of investigation was established, hence congestion controlled.

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