Multipopulation differential evolution combined with opposition-based learning is developed
to improve the convergence efficiency and optimization accuracy for heat exchanger …

The optimal design of large-scale heat exchanger networks is a quite difficult task not only
due to its non-linear characteristics but also due to a great number of local optima in its …

This paper provides a critical review of the literature on heat-exchanger network synthesis,
the most commonly studied problem in process synthesis. After a review of solution …

We propose a new strategy to synthesize heat exchanger networks with detailed designs of
individual heat exchangers. The proposed strategy uses a multistep approach by first …

Many methods have been proposed for heat exchanger network (HEN) synthesis. The
algorithmic methods rely heavily on sophisticated mathematical programming techniques …

The HEN synthesis problem is one amongst many engineering problems which can be
characterized as highly combinatorial, nonlinear and nonconvex, all contributing to …

In this paper, an efficient as well as reliable approach to deal with heat exchanger networks
(HENs) synthesis problems, which is inherently known as a mixed-integer non-linear …

In the present paper, a bi-level optimization approach is proposed to synthesize Heat
Exchanger Networks (HEN), based on a hybrid meta-heuristic method. Simulated Annealing …

Process integration techniques have been widely accepted as an effective tool in
synthesising a cost optimal heat exchanger network (HEN). However, most works on HEN …