document: A hybrid-neural network and population learning algorithm approach to solving reliability optimization problem Proposes a hybrid approach integrating a dedicated artificial neural network and population learning algorithm applied to maximising system reliability under cost and technical feasibility constraints . The paper includes a formulation of the system reliability optimisation -LRB- SRO -RRB- problem and a description of the dedicated neural network trained by applying the population learning algorithm . A solution to the example SRO problem is shown and results of the computational experiment are presented and discussed
doc_bio_tags: O O O O B I I O O O B I I O O B I O O B I I I O B I I O O O B I O O O B I I O O O O O O O O B I O O O O O O O O O O O O O O O O O B I I O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: hybrid approach dedicated artificial neural network population learning algorithm system reliability technical feasibility constraints reliability optimization problem
abstractive_keyphrases: cost constraints