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The rise of health care cost is one of the world’s most important problems. Disease prediction is also a vibrant research area. Researchers have approached this problem using various techniques such as support vector machine, artificial neural network, etc. This study typically exploits the immune system’s characteristics of learning and memory to solve the(More)
Handwritten character recognition is an important research and application area on pattern recognition theory, which plays an important role on realizing automation of inputting character at all cases. In order to improve the rate of character recognition and decrease the time of recognition training, referencing to immune biological principle, a(More)
a r t i c l e i n f o a b s t r a c t In this paper, we introduce the maximum duo-preservation string mapping problem (MPSM), which is complementary to the minimum common string partition problem (MCSP). When each letter occurs at most k times in any input string, the version of MPSM is called k-MPSM. In order to design approximation algorithms for MPSM, we(More)
Estimation of distribution algorithms are a class of optimization algorithms based on probability distribution model. In this paper, we propose an improved estimation of distribution algorithm using opposition-based learning and Gaussian copulas. The improved algorithm employs multivariate Gaussian copulas to construct probability distribution model and(More)
Differential Evolution (DE) is a numerical optimization approach, which is simple to implement, requires little parameter tuning, and known for remarkable performance. It mainly uses the distance and direction information from the current population to guide its further search. However, it has no mechanism to extract and use global information about the(More)