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This paper proposes a novel multi-objective optimization approach for solving multimodal optimization problems (MMOPs). An MMOP at hand is first transformed into a bi-objective optimization problem. The two objectives are constructed totally conflict by using the distance information and the objective function value. In this way, multiple optima of an MMOP are converted into the non-dominated solutions...
With the amount of data growing constantly and exponentially, the industry has encountered an unprecedented challenge of efficiently and reliably processing a tremendous amount of data. High performance computer has played a major role in the field of big data processing for its serious computational power and super-large storage. However, it remains some inevitable drawbacks to efficiently utilize...
In the ant colony system (ACS) algorithm, ants build tours mainly depending on the pheromone information on edges. The parameter settings of pheromone updating in ACS have direct effect on the performance of the algorithm. However, it is a difficult task to choose the proper pheromone decay parameters ?? and ?? for ACS. This paper presents a novel version of ACS algorithm for obtaining self-adaptive...
More frequent occurrence of soft error makes reliability evaluation become an important issue in the design of embedded system. This paper presents a new evaluation method of architectural vulnerability factor (AVF) which reflects the effects of soft error on the execution of program. This method evaluates AVF of storage units from three perspectives: instruction behavior, storage type and operation...
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance functions. A new set of distance measures are derived from the harmonic distance, the geometric distance, and their generalized variants according to the maximum likelihood theory. These measures can provide a more accurate feature...
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