Inside a predator-prey model for multi-objective optimization: a second study
Proceedings of the 8th annual conference on Genetic and evolutionary computation
The Parallel Predator-Prey Model: A Step towards Practical Application
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Designing multi-objective variation operators using a predator-prey approach
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Simulated evolution under multiple criteria conditions revisited
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
Parallel predator---prey interaction for evolutionary multi-objective optimization
Natural Computing: an international journal
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This poster presents an evolution strategy for single- and multi-objective optimization. The model uses the predator-prey approach from ecology to scale between both cases. Furthermore the main issue of adaptation working for single- and multi-objective problem-instances equally is discussed. Particular, the well proved self-adaptation mechanism for the mutation strengths in the single-objective case is adopted for the multi-objective one. This self-adaptation process is supported by a new strategy of competition between predators and preys. Six test functions are used to demonstrate the practicability of the model.