Evolutionary to Hybrid Framework
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Includes multi/many-objective optimization using various computation platforms
Explores the efficacy of hybridization approaches like GA-Fuzz, Neuro-Fuzz, Neuro-ACO etc. in solving real-life application problems, especially in multi-objective frameworks
Offers valuable insights into the evolution of computation paradigms in the field of multi/many-objective optimization over the last few years: Why and how did it happen?
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