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In this paper we look at a new hybrid Genetic Algorithm (HGA) based on genetic simulated annealing (GSA) algorithm for solving heat exchanger network synthesis (HENS) problems with Mixed Integer Nonlinear Programming (MINLP) model. In order to efficiently locate quality solution to complex optimization problem, a self-adaptive mechanism is developed to maintain a tradeoff between the global and local...
In this paper we presented a novel hybrid genetic algorithm for solving NLP problems based on combining the Genetic algorithm and Simulated annealing, together with a local search strategy. The proposed hybrid approach combines the merits of genetic algorithm (GA) with simulated annealing (SA) to construct a more efficient genetic simulated annealing (GSA) algorithm for global search, which could...
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