Title
Multi-objective optimization of two stage thermoelectric cooler using a modified teaching-learning-based optimization algorithm
Abstract
Teaching-learning-based optimization (TLBO) is a recently developed heuristic algorithm based on the natural phenomenon of teaching-learning process. In the present work, a modified version of the TLBO algorithm is introduced and applied for the multi-objective optimization of a two stage thermoelectric cooler (TEC). Two different arrangements of the thermoelectric cooler are considered for the optimization. Maximization of cooling capacity and coefficient of performance of the thermoelectric cooler are considered as the objective functions. An example is presented to demonstrate the effectiveness and accuracy of the proposed algorithm. The results of optimization obtained by using the modified TLBO are validated by comparing with those obtained by using the basic TLBO, genetic algorithm (GA), particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms.
Year
DOI
Venue
2013
10.1016/j.engappai.2012.02.016
Eng. Appl. of AI
Keywords
Field
DocType
multi-objective optimization,stage thermoelectric cooler,genetic algorithm,thermoelectric cooler,tlbo algorithm,proposed algorithm,particle swarm optimization,modified teaching-learning-based optimization algorithm,teaching-learning-based optimization,modified tlbo,basic tlbo,heuristic algorithm,coefficient of performance,cooling capacity,thermoelectric modules
Particle swarm optimization,Mathematical optimization,Thermoelectric generator,Heuristic (computer science),Computer science,Multi-objective optimization,Genetic algorithm,Cooling capacity,Thermoelectric cooling,Maximization
Journal
Volume
Issue
ISSN
26
1
0952-1976
Citations 
PageRank 
References 
40
1.54
2
Authors
2
Name
Order
Citations
PageRank
R. Venkata Rao11638.75
Vivek Patel2432.59