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 …

In the last two decades research on shell-and-tube heat exchangers design has advanced
focusing mainly on design optimization problems. While literature focused on applying a …

This study explores the use of particle swarm optimization (PSO) algorithm for
thermodynamic optimization of a cross flow plate-fin heat exchanger. Minimization of total …

This paper explores the use of an elitist-Jaya algorithm for economic optimization of shell-
and-tube heat exchanger (STHE) design. Three different optimization problems of STHE are …

The use of genetic and particle swarm algorithms in the design of techno-economically
optimum shell-and-tube heat exchangers is demonstrated. A cost function (including costs of …

A modified optimization design approach motivated by constructal theory is proposed for
shell-and-tube heat exchangers in the present paper. In this method, a shell-and-tube heat …

This paper explores the use of the Jaya algorithm for economic optimization of shell-and-
tube heat exchanger (STHE) design. Consistency and maintenance because of fouling are …

This study investigates the utilization of Hybrid Chaotic Quantum behaved Particle Swarm
Optimization (HCQPSO) algorithm for thermal design of plate fin heat exchangers. HCPQSO …

Intensified shell and tube heat exchangers have been proposed for their use in the
grassroots and retrofit designs of heat exchanger networks. Among them are those featuring …

This paper proposes an elitist-Jaya algorithm for multi-objective design optimization of shell-
and-tube and plate-fin heat exchangers. Jaya algorithm is a newly proposed algorithm and it …