Abstract
In this study, a conceptual mathematical model for the refractory and isolating lining of high temperature installations is deduced based on system constraints. Model’s decomposition leads to a bi-level objective having discrete optimization task with higher number of layers of compositions. Solutions are generated by a series of lower layers and multiple-objective optimization in accordance with a hierarchical participative structure. Graphical modelling of case study is developed with AutoLisp and OpenDCL for AutoCAD, which allows, for each refractory lining’s proposal generation. The user’s application and the associated graphic information among other possibilities allows to evaluate factors that could not be included in the model used for the solution of the original task. A novel heuristic approach is developed in the frame of the Integration Variables Method called “Exploration of Variables Codes (EVC)”. The results of EVC are numerically compared with the ones obtained using the elitist genetic algorithm approach “Non-dominated sorting genetic algorithm II (NSGA II)” for the same model’s structure. The optimized results demonstrate the higher solutions diversity, that facilitates the human-machine interaction procedures associated to develop the optimized solution.
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Asgher, U., Arzola-Ruiz, J., Ahmad, R., Martínez-Valdés, O., Ayaz, Y., Ali, S. (2020). Modeling and Multi-objective Optimization of Insulating Lining Using Heuristic Technique “Exploration of Variable Codes (EVC)”. In: Ayaz, H. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-20473-0_42
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