Abstract
Multi-objective Dynamic Optimization Problems (MDOP) are a set of challenging engineering problems in which one or more of the terms in the problem are dependent on independent variables. In this work, we employ a recently proposed stochastic multi-objective optimization algorithm, Front-based Yin-Yang-Pair Optimization, to solve such problems. The algorithm is applied on three Multi-objective Dynamic Optimization Problems (MDOP) from literature: (i) a batch reactor, (ii) a plug flow reactor and (iii) a fed-batch reactor problem. F-YYPO is able to determine efficient Pareto curves for the MDOP problems and shows competitive performance with literature results.
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Punnathanam, V., Kotecha, P. (2019). Optimization of Multi-objective Dynamic Optimization Problems with Front-Based Yin-Yang-Pair Optimization. In: Panigrahi, B., Trivedi, M., Mishra, K., Tiwari, S., Singh, P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-8968-8_32
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DOI: https://doi.org/10.1007/978-981-10-8968-8_32
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