An Empirical Study of Multipopulation Genetic Programming
Genetic Programming and Evolvable Machines
The influence of migration sizes and intervals on island models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Analyzing active interactive genetic algorithms using visual analytics
Proceedings of the 8th annual conference on Genetic and evolutionary computation
An analysis of island models in evolutionary computation
An analysis of island models in evolutionary computation
Adapting palettes to color vision deficiencies by genetic algorithm
Proceedings of the 10th annual conference on Genetic and evolutionary computation
VISPLORE: a toolkit to explore particle swarms by visual inspection
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Visualizing the search process of particle swarm optimization
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Introduction: special issue on parallel and distributed evolutionary algorithms, part I
Genetic Programming and Evolvable Machines
Visual exploration of algorithm parameter space
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Visualisation of building blocks in evolutionary algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Guest editorial: special issue on parallel and distributed evolutionary algorithms, part two
Genetic Programming and Evolvable Machines
GAVEL - a new tool for genetic algorithm visualization
IEEE Transactions on Evolutionary Computation
On relationships between semantic diversity, complexity and modularity of programming tasks
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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We present a novel visualisation method for island-based evolutionary algorithms based on the concept of tracers as adopted in medicine and molecular biology to follow a biochemical process. For example, a radioisotope or dye can be used to replace a stable component of a biological compound, and the signal from the radioisotope can be monitored as it passes through the body to measure the compound's distribution and elimination from the system. In a similar fashion we attach a tracer dye to individuals in each island, where each individual in any one island is marked with the same colour, and each island then has its own unique colour signal. We can then monitor how individuals undergoing migration events are distributed throughout the entire island ecosystem, thereby allowing the user to visually monitor takeover times and the resulting loss of diversity. This is achieved by visualising each island as a spectrum of the tracer dye associated with each individual. Experiments adopting different rates of migration and network connectivity confirm earlier research which predicts that island models are extremely sensitive to the size and frequency of migrations.