The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;"&g...The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;">timization problem and a proper predictive maintenance scheduling table sh</span><span style="font-family:Verdana;">ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor</span><span style="font-family:Verdana;">ithm (GA) operators to design this table. The practical experiment shows th</span><span style="font-family:Verdana;">at our model reduces cost while increasing reliability compared to other models previously utilized.展开更多
The objective of steganography is to hide message securely in cover objects for secret communication.How to design a secure steganographic algorithm is still major challenge in this re-search field.In this letter,deve...The objective of steganography is to hide message securely in cover objects for secret communication.How to design a secure steganographic algorithm is still major challenge in this re-search field.In this letter,developing secure steganography is formulated as solving a constrained IP(Integer Programming) problem,which takes the relative entropy of cover and stego distributions as the objective function.Furthermore,a novel method is introduced based on BPSO(Binary Particle Swarm Optimization) for achieving the optimal solution of this programming problem.Experimental results show that the proposed method can achieve excellent performance on preserving neighboring co-occurrence features for JPEG steganography.展开更多
文摘The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op</span><span style="font-family:Verdana;">timization problem and a proper predictive maintenance scheduling table sh</span><span style="font-family:Verdana;">ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor</span><span style="font-family:Verdana;">ithm (GA) operators to design this table. The practical experiment shows th</span><span style="font-family:Verdana;">at our model reduces cost while increasing reliability compared to other models previously utilized.
基金Supported by the National Natural Science Foundation of China (No.60572111)
文摘The objective of steganography is to hide message securely in cover objects for secret communication.How to design a secure steganographic algorithm is still major challenge in this re-search field.In this letter,developing secure steganography is formulated as solving a constrained IP(Integer Programming) problem,which takes the relative entropy of cover and stego distributions as the objective function.Furthermore,a novel method is introduced based on BPSO(Binary Particle Swarm Optimization) for achieving the optimal solution of this programming problem.Experimental results show that the proposed method can achieve excellent performance on preserving neighboring co-occurrence features for JPEG steganography.
