Bio-inspired methods for fast and robust arrangement of thermoelectric modulus
by Ahmad Mozaffari; Ali M. Goudarzi; Alireza Fathi; Pendar Samadian
International Journal of Bio-Inspired Computation (IJBIC), Vol. 5, No. 1, 2013

Abstract: This paper aims to evaluate the ability of some well-known bio-inspired metaheuristics for optimal arrangement of thermoelectric cells mounted in a thermal component. In real life applications, proper arrangement of thermoelectric modules plays a pivotal role by maximising the generated electricity. However, some defects such as the increase in total maintenance cost is often associated with the use of thermoelectric cells. Hence, it is mandatory to contrive a policy which guarantees the maximum electricity generation while keeps the maintenance cost in lowest level. Here, authors use both adaptive neuro-fuzzy inference system (ANFIS) and experimental data to model the power generation and maintenance cost of thermoelectric cells. At the next step, they engage some famous bio-inspired metaheuristic algorithms, i.e., bee algorithm (BA), particle swarm optimisation (PSO) and the great salmon run (TGSR) to arrange the thermoelectric cells in a cost effective manner. The gained results indicate that the proposed algorithms are highly capable to find an efficient arrangement for thermoelectric cells within a rational duration. Besides, through independent runs, it is observed that metaheuristics show acceptable robustness for the current case study.

Online publication date: Wed, 03-Apr-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com