2009
DOI: 10.1016/j.cep.2009.10.003
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A monogenetic algorithm for optimal design of large-scale heat exchanger networks

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Cited by 60 publications
(30 citation statements)
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“…Although two optimal results were given, the optimal structures and computational time were not offered. Fieg et al [58] proposed a hybrid genetic algorithm that included a first search process to find good functional groups. They provided the best optimal result involving streams splits and the computational time was not offered as well.…”
Section: Casementioning
confidence: 99%
“…Although two optimal results were given, the optimal structures and computational time were not offered. Fieg et al [58] proposed a hybrid genetic algorithm that included a first search process to find good functional groups. They provided the best optimal result involving streams splits and the computational time was not offered as well.…”
Section: Casementioning
confidence: 99%
“…Other approaches for tackling large HENs have been based on stochastic methods, e.g. Fieg et al (2009) developed a mathematical model for the synthesis of large-scale HENs using a monogenetic algorithm, Luo et al (2009) in their hybrid approach combined a genetic algorithm with a simulated annealing algorithm.…”
Section: Recent Developments In Mp Based Pi Combining Mp and Pinch-anmentioning
confidence: 99%
“…Fieg et al. () used the same method and added a monogenetic algorithm that divides the initial problem into promising subnetworks. The objective is to be capable of managing large‐scale networks in a feasible amount of time.…”
Section: Metaheuristics Applied To Hen Designmentioning
confidence: 99%
“…However, this limits the possible configurations that can be obtained, and the best network configuration can be discarded when optimizing global economic costs. This method has been applied successfully in many problems but as it is centered in MER objective, it is not able to optimize the energy usage and investment costs simultaneously (Fieg et al., ).…”
Section: Introductionmentioning
confidence: 99%