The heat exchanger network (HEN) synthesis can be characterized as highly combinatorial,
nonlinear and nonconvex, contributing to unmanageable computational time and a …

Random walk algorithm with compulsive evolution is a novel stochastic method with strong
global search ability for heat exchanger network synthesis; however, its mutation behavior of …

The major difficulty in the heat exchanger network synthesis (HENS) is dealing with the
simultaneous optimization of large-scale continuous and integer variables. Heuristic …

Heat exchanger network synthesis has been extensively studied in process system
engineering for its complexity and difficulty resulting from stream matches and the …

This study aims to explore a new simultaneous synthesis method for heat exchanger
network synthesis (HENS) problems to achieve the minimum total annual cost (TAC). A …

The simultaneous synthesis of heat exchanger network is primarily regarded as mixed
integer nonlinear programming models and its combinatorial nature can easily lead to a …

Heat exchanger network synthesis (HENS) is one of the most extensively studied
synthesis/design problem in chemical engineering. This is attributed to the importance of …

Balancing the trade-off between structural diversity (solution space) and optimization
efficiency is an urgent challenge in the modeling and global optimization of heat exchanger …

This article presents an algorithm for the synthesis of heat exchanger networks (HENs) using
randomization as an effective tool. It optimizes the total cost of the network. The method …

Abstract Random Walk algorithm with Compulsive Evolution can simultaneously optimize
the continuous (heat load) and integer (structure) variables in heat exchanger networks, by …