5 Result(s)
within
Hong-Fei Teng
Computer Science
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Chapter and Conference Paper
Cooperative Co-evolutionary Differential Evolution for Function Optimization
The differential evolution (DE) is a stochastic, population-based, and relatively unknown evolutionary algorithm for global optimization that has recently been successfully applied to many optimization problem...
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Chapter and Conference Paper
Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction
Recently, key-phrase extraction from patent document has received considerable attention. However, the current statistical approaches of Chinese key-phrase extraction did not realize the semantic comprehension...
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Chapter and Conference Paper
A Generalized Differential Evolution Combined with EDA for Multi-objective Optimization Problems
This paper proposed a multi-objective evolutionary algorithm (called by GDE-EDA hereinafter). The proposed algorithm combined a generalized differential evolution (DE) with an estimation of distribution algori...
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Chapter and Conference Paper
An Improved Differential Evolution with Local Search for Constrained Layout Optimization of Satellite Module
This paper proposes an improved differential evolution algorithm (called by DEG hereinafter) to tackle a kind of combinatorial optimization problem, i.e., constrained component layout optimization of satellite...
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Chapter and Conference Paper
An Efficient Differential Evolution Algorithm with Approximate Fitness Functions Using Neural Networks
We develop an efficient differential evolution (DE) with neural networks-based approximating technique for computationally expensive problems, called DE-ANN hereinafter. We employ multilayer feedforward ANN to...
