Multiobjective Optimization of Multi-Carrier Energy System Using a Combination of ANFIS and Genetic Algorithms
作者： Konstantinos Kampouropoulos , Fabio Andrade , Enric Sala , Antonio Garcia Espinosa , Luis Romeral
关键词: Continuous optimization 、 Mathematical optimization 、 Multi-objective optimization 、 Engineering optimization 、 Global optimization 、 Meta-optimization 、 Metaheuristic 、 Control engineering 、 Test functions for optimization 、 Multi-swarm optimization 、 Engineering
摘要: This paper presents a novel method for the energy optimization of multi-carrier systems. The presented combines an adaptive neuro-fuzzy inference system, to model and forecast power demand plant, genetic algorithm optimize its flow taking into account dynamics system equipment’s thermal inertias. objective is satisfy total plant minimize set criteria, formulated as usage, monetary cost, environmental cost. has been validated under real conditions in car manufacturing SEAT Spain framework FP7 European research project.
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