Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
An extended vector-processing scheme for searching information in hypertext systems
Information Processing and Management: an International Journal
An efficient algorithm for full text retrieval for multiple keywords
Information Sciences: an International Journal
Applying genetic algorithms to query optimization in document retrieval
Information Processing and Management: an International Journal
Quality Engineering Using Robust Design
Quality Engineering Using Robust Design
Journal of Global Optimization
A Trigonometric Mutation Operation to Differential Evolution
Journal of Global Optimization
A New Term Significance Weighting Approach
Journal of Intelligent Information Systems
Neuro-fuzzy knowledge processing in intelligent learning environments for improved student diagnosis
Information Sciences—Informatics and Computer Science: An International Journal
Exploiting concept clusters for content-based information retrieval
Information Sciences—Informatics and Computer Science: An International Journal
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series)
Development of an automatic customer service system on the internet
Electronic Commerce Research and Applications
Digital IIR filter design using differential evolution algorithm
EURASIP Journal on Applied Signal Processing
An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system
Computers & Education
Information discovery across multiple streams
Information Sciences: an International Journal
Hybrid Taguchi-genetic algorithm for global numerical optimization
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Accelerating Differential Evolution Using an Adaptive Local Search
IEEE Transactions on Evolutionary Computation
Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm
IEEE Transactions on Neural Networks
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A Taguchi-crossover differential evolution (TCDE) algorithm is proposed to optimize weights of document keywords for auto-reply accuracy. The proposed TCDE algorithm combines the use of differential evolution for exploring the optimal feasible region in macro-space with the use of the Taguchi method for exploiting the optimal solution in micro-space. For learning purpose, an answer needs to be exactly given for a specific query. Notably, teachers give a problem answer to elementary students who need to have the clear and accurate solution for learning according to their queries. This study shows the TCDE which integrates a cosine similarity measure and an evaluation function to successfully find the best weights of document keywords for auto-reply accuracy. Performance comparisons confirm that the TCDE algorithm outperforms existing methods presented in the literature in finding the best weights of document keywords and obtaining accurate answers.