| Autor: |
Murat Emre Kartal, Ali Mortazavi, Mahsa Moloodpoor |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
The significance and popularity of heat exchangers in industrial applications cause their cost-efficient design to become an important issue. This aim can be accomplished by optimizing the features of these systems in order to reduce their total cost. In this respect, the current study deals with employing a nongradient-based swarm intelligence the so-called interactive fuzzy search algorithm (IFSA) for the optimal designing of heat exchangers. The IFSA is a parameter-free and self-adaptive method applying a fuzzy decision-making mechanism that utilizes two nine-rule fuzzy mapping mechanisms to regulate the exploitation and exploration search behaviors of the optimization algorithm. In line with the subject of the current study, double-pipe and shell-and-tube heat exchangers cost optimization models and a suite of benchmark mathematical functions are considered as constrained and unconstrained optimization problems. The achieved outcomes are compared with the results obtained using five other well-known metaheuristic optimization methods. The attained results indicate that thanks to its fuzzy module the proposed approach can adapt itself to governing conditions of the problems and provides promising results in solving the thermo-economic model of heat exchanger systems. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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