Adapting Evolutionary Approaches for Optimization in Dynamic Environments
Many important applications in the real world that can be modelled as combinatorial optimization problems are actually dynamic in nature. However, research on dynamic optimization focuses on continuous optimization problems, and rarely targets combinatorial problems. Moreover, dynamic combinator...
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| Language: | en |
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University of Waterloo
2007
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| Online Access: | http://hdl.handle.net/10012/2835 |