IEEE Member-only icon Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics

Dynamic Selection of Evolutionary Algorithm Operators Based on Online Learning and Fitness Landscape Metrics

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#Pietro Consoli #IEEE CIS Junior Webinar Series #2015 #Evolutionary Algorithm #Operator #Dynamic Selection; MAENS algorithm #

The author presents an introduction to dynamic selection of Evolutionary Algorithm operators (crossover) and their selection based on online learning and fitness landscape metrics. The example is using the Memetic Algorithm with Extended Neighborhood Search (MAENS).

The author presents an introduction to dynamic selection of Evolutionary Algorithm operators (crossover) and their selection based on online learning and fitness landscape metrics. The example is using the Memetic Algorithm with Extended Neighborhood Search (MAENS).

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