Multi-objective mathematical programming subject to box boundary constraints on system parameters

Multi-objective mathematical programming subject to box constraints on system parameters is an important problem in the fields of computer-aided design and decision-making theory, when there is an apparent conflict between multiple preference criteria. In this work, mathematical programming methodol...

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Vydané v:Computational ecology and software Ročník 14; číslo 3; s. 186 - 204
Hlavný autor: Khoder, H
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hong Kong International Academy of Ecology and Environmental Sciences (IAEES) 01.09.2024
International Academy of Ecology and Environmental Sciences
Predmet:
Algorithms
Automation
CAD
Classification
Complex systems
Computer aided design
Constraints
Criteria
Decision making
Design parameters
Ecology
flexible complex systems
fuzzy logic
Interactive systems
Mathematical analysis
Mathematical functions
Mathematical models
Mathematical programming
multi-criteria decision-making
multi-criteria optimization
multi-objective programming
Multiple objective analysis
Optimization
Parameter identification
parametric modeling
ranking and classification methods
Software
ISSN:2220-721X
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Shrnutí:Multi-objective mathematical programming subject to box constraints on system parameters is an important problem in the fields of computer-aided design and decision-making theory, when there is an apparent conflict between multiple preference criteria. In this work, mathematical programming methodology has been proposed using a modern algorithm to solve multi-objective mathematical problems. The proposed algorithm to perform the ranking and classification procedures for the set of alternative solutions with boundary constraints is based on the concepts of parametric multi-aspect modeling of flexible complex systems. Interactive software has been implemented in the .Net environment to aid the decision-maker to identify the preference criteria and constraints on the system parameters, and then to choose the best solution from the morphological set depending on the developed algorithm. In addition, an illustrative numerical example solved by the proposed algorithm is presented at the end of this work.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:2220-721X