Abstract
Various engineering designs are multi-objective as they contain more than one design goal to be optimized. These design goals theoretically inflict differing requirements on the technical performance of system design. To analyze the trade-offs amongst conflicting design’s multi-objectives and to explore respective design options, an optimization problem with multi objectives has been mathematically modeled in this paper. In the present work, multi-objective optimization of air conditioning conduits and nets design is formulated. The design factors also consider the cultural as well as quantifiable, subjective ergonomics constraints and control decision-making factors. The cultural constraints, such as geographical, historical, sociological, and organizational constraints that determine the efficiency of the design of these nets are also incorporated in the objective function. This is reproduced during the option of filtration and selection from the solutions population generated at the locals and other levels, in which influences of cultural factor and of the decisions making factors are reflected in the subjective preferences.
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References
Parameshwaran, R., Karunakaran, R., Iniyan, S., Samuel, A.A.: Optimization of energy conservation potential for VAV air conditioning system using fuzzy based genetic algorithm. Int. J. Math. Phys. Eng. Sci. 2(4), 223–230 (2008)
Kusiak, A., Xu, G., Tang, F.: Optimization of an HVAC system with a strength multi-objective particle-swarm algorithm. Energy 36(10), 5935–5943 (2011)
Bau, U., Neitzke, D., Lanzerath, F., Bardow, A.: Multi-objective optimization of dynamic systems combining genetic algorithms and Modelica: application to adsorption air-conditioning systems. In: Proceedings of the 11th International Modelica Conference, Versailles, France, Sept 2015, No. 118, pp. 777–784. Linköping University Electronic Press (2015)
Vasanth, B., Bright, J., Reddy, P., Govindarajalu, M.: Optimization of HVAC Panel Aiming Studies using Parametric Modeling and Automated Simulation (No. 2014-01-0684). SAE Technical Paper (2014)
Pantelic, J., Raphael, B., Tham, K.W.: A preference driven multi-criteria optimization tool for HVAC design and operation. Energy Build. 55, 118–126 (2012)
Stanescu, M., Kajl, S., Lamarche, L.: Evolutionary algorithm with three different permutation options used for preliminary HVAC system design. In: Proceedings of the Building Simulation and Optimization Conference, pp. 386–393 (2012)
Asgher, U., et al.: Developing of an industrial manufacturing process plan, mathematical modeling of process plan and its convex constraint analysis. In: 2013 Science and Information Conference, London, pp. 659–664 (2013)
Riaz Ahmad et al.: Modeling and Development of an Activity based Process Planning Matrix, Its Optimization using Design Structure Matrix (DSM) – WSEAS-Proceedings of the 2nd International Conference on Applied Manufacturing, Commerce, Tourism and Services (MCTS ‘13), Baltimore, MD, USA September 17–19, 2013, pp. 101–107 (2013)
Helbig, M., Engelbrecht, A.: Dynamic multi-objective optimization using pso. Metaheuristics Dyn. Optim. 433, 147–188 (2013)
Liu, R., Fan, J., Jiao, L.: Integration of improved predictive model and adaptive differential evolution based dynamic multi-objective evolutionary optimization algorithm. Appl. Intell. 43(1), 192–207 (2015)
Azzouz, R., Bechikh, S., Said, L.B.: Multi-objective optimization with dynamic constraints and objectives: new challenges for evolutionary algorithms. In: Genetic and Evolutionary Computation Conference (GECCO 2015), pp. 615–622 (2015)
Arzola, J.: Selección de Propuestas. Editorial Científico - Técnica, Ciudad de la Habana (1989)
Arzola, J.: Sistemas de Ingeniería. Editorial Félix Varela, Ciudad de la Habana (2000)
Colcheva, A.: Metodología de cálculo de ruidos. EPROYIV, La Habana (1986)
Carbonell L., A. Torrella y R. Cabello. “Desarrollo de un Programa Informático para el Cálculo de la Transmisión de Ruidos en Redes de Conductos de Acondicionamiento de Aire”. El Instalador. Octubre. No. 10, Madrid, España (1998)
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Cordovés-García, A., Arzola-Ruiz, J., Asgher, U. (2018). Incorporating the Cultural and Decisions Factors in Multi-objective Optimization of Air Conditioning Conduit Design Process. In: Hoffman, M. (eds) Advances in Cross-Cultural Decision Making. AHFE 2017. Advances in Intelligent Systems and Computing, vol 610. Springer, Cham. https://doi.org/10.1007/978-3-319-60747-4_18
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DOI: https://doi.org/10.1007/978-3-319-60747-4_18
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