Title :
Global optimization of a single inlet T- junction cooling system using differential evolution
Author :
Singh, Monika ; Patkar, Ameya ; Pant, Millie ; Jain, Abhishek
Author_Institution :
Dept. of Paper Technol., Indian Inst. of Technol. Roorkee, Roorkee, India
Abstract :
Over the past few decades, differential evolution (DE) has emerged as a versatile algorithm for solving a wide range of global optimization problems arising in various fields. The present study discusses a novel application of DE for thermal optimization of a single inlet T-junction. It is a common but complex problem arising in the field of thermal engineering and can be formulated as a global optimization problem subject to constraints. The current study shows the efficiency of DE in dealing with such problems.
Keywords :
channel flow; cooling; evolutionary computation; optimisation; thermal engineering; DE algorithm; differential evolution algorithm; global optimization problem; single-inlet T-junction cooling system; thermal engineering; thermal optimization; Particle swarm optimization; T-junction; differential evolution; global optimization; thermal optimization;
Conference_Titel :
Swarm Intelligence (SIS), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/SIS.2013.6615179