Survey on Design of Truss Structures by Using Fuzzy Optimization Methods

Kentli, Aykut

doi:10.5772/36651

Fuzzy Logic - Controls, Concepts, Theories and Applications 2012

DOI: 10.5772/36651

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Survey on Design of Truss Structures by Using Fuzzy Optimization Methods

Aykut Kentli¹

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2014

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Liquid propellant engine conceptual design by using a fuzzy-multi-objective genetic algorithm (MOGA) optimization method

Mirshams

Naseh

Taei

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part G:

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This paper presents an extension of fuzzy-multi-objective genetic algorithm (MOGA) optimization methodology that could effectively be used to find the overall satisfaction of objective functions (selecting the design variables) in the early stages of design process. The coupling of objective functions due to design variables in an engineering design process will result in difficulties in design optimization problems. The primary application of this methodology is the design of a liquid propellant engine with the maximum specific impulse and the minimum weight. The independent design variables in this model are combustion chamber pressure, exit pressure, oxidizer to fuel mass flow rate. To handle the mentioned problems, a fuzzy-multi-objective genetic algorithm optimization methodology is developed based on Pareto optimal set. Liquid propellant engine, F-1 is modeled to illustrate accuracy and efficiency of proposed methodology.

show abstract

Liquid propellant engine conceptual design by using a fuzzy-multi-objective genetic algorithm (MOGA) optimization method

Mirshams

Naseh

Taei

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

show abstract

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Survey on Design of Truss Structures by Using Fuzzy Optimization Methods

Cited by 1 publication

References 59 publications

Liquid propellant engine conceptual design by using a fuzzy-multi-objective genetic algorithm (MOGA) optimization method

Liquid propellant engine conceptual design by using a fuzzy-multi-objective genetic algorithm (MOGA) optimization method

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