On application of stochastic optimization techniques to designing heat exchanger- and water networks

Jeżowski, Jacek; Bochenek, Roman; Poplewski, Grzegorz

doi:10.1016/j.cep.2007.02.024

Cited by 47 publications

(20 citation statements)

References 41 publications

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“…GAs have been used successfully for solving different combinatorial problems [21][22][23]. Their population to population approach enables them to search large, discontinuous, search spaces without getting trapped in local optima.…”

Section: Solution Strategymentioning

confidence: 99%

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Wongrat

Younes

Elkamel

et al. 2011

Journal of the Franklin Institute

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Section: Solution Strategymentioning

confidence: 99%

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Wongrat

Younes

Elkamel

et al. 2011

Journal of the Franklin Institute

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“…Alternatively, other authors such as Bochenek and Ježowski (2006), Ježowski et al (2007), and Rezaei and Shafiei (2009) based their solutions on a node representation. Although the method is not exactly the same in all cases, all are based on the definition of a series of nodes for each stream that can be selected to create matches between streams.…”

Section: Structure Representationmentioning

confidence: 99%

Review of metaheuristics applied to heat exchanger network design

Toimil

Gómez

2016

Int Trans Operational Res

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Heat exchanger networks (HENs) are a useful method of reducing the energy costs and environmental impact of industrial processes. Therefore, many papers focusing on solving HEN design problems efficiently have been published in the last years and several techniques have been proposed for their solution. The high complexity of the problem has led to an increment in the number of papers that use metaheuristics to solve it. The main reason is the capability of metaheuristics to handle complex problems in a feasible computational time. Additionally, this approach can easily take into account investment costs, and it offers more flexibility in the definition of the objective function and problem restrictions. In this paper, we review the most relevant papers that use metaheuristic techniques to resolve the HEN design problem. We also propose a method for grouping the different analyzed metaheuristics. It is based on a series of characteristics that allows the correct characterization of the different approaches.

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“…• Jezowski et al [21] • Ponce-Ortega et al [24] and Luo et al [25] use the stagewise superstructure suggested by Yee et al [14];…”

Section: Approaches and Algorithms For Hen Synthesismentioning

confidence: 99%

The synthesis of cost optimal heat exchanger networks with unconstrained topology

Toffolo

2009

Applied Thermal Engineering

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The optimization of heat exchanger network (HEN) synthesis still remains an open problem because of the complexity of the space comprising all the possible solutions, and most of the proposed methods introduce simplifying assumptions that mainly affect the topological features of the candidate solutions considered and thus artificially limit the boundaries of the search space.This work is devoted to the pursuit of cost-optimal HENs with unconstrained topology, exploiting the advantages deriving from two graph representations of a HEN. One representation is used by an evolutionary algorithm to manage HEN topology and the other is used by a NLP algorithm to manage heat load distribution among the exchangers. The proposed two-level hybrid optimization method is applied to four test cases taken from the literature about HEN synthesis, among which the well-known Aromatics Plant problem.Keywords: synthesis optimization, heat exchanger networks, graph theory. ACCEPTED MANUSCRIPTThe synthesis of cost optimal heat exchanger networks with unconstrained topology -Andrea Toffolo

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On application of stochastic optimization techniques to designing heat exchanger- and water networks

Cited by 47 publications

References 41 publications

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Control vector optimization and genetic algorithms for mixed-integer dynamic optimization in the synthesis of rice drying processes

Review of metaheuristics applied to heat exchanger network design

The synthesis of cost optimal heat exchanger networks with unconstrained topology

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