Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
How to Solve It: Modern Heuristics
How to Solve It: Modern Heuristics
A comparative study of stochastic optimization methods in electric motor design
Applied Intelligence
Parameter-less evolutionary search
Proceedings of the 10th annual conference on Genetic and evolutionary computation
An artificial intelligence approach to the efficiency improvement of a universal motor
Engineering Applications of Artificial Intelligence
Genetic algorithm for test pattern generator design
Applied Intelligence
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In this paper, we present a methodology for learning elementary-school mathematics online. It is supported by a decision making system, based on evolutionary computation, which leads a student in selecting an optimal subset of math items to effectively upgrade the knowledge. We evaluated the system's effectiveness with the active participation of experienced teachers and students. The teachers evaluated solutions provided by the systems, judging the selection with respect to content areas and difficulty levels. The students were solving math items suggested by the system, gradually improving their knowledge. They both agreed that the system could effectively be used for e-learning.