Reducing bias and inefficiency in the selection algorithm
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms
Journal of Heuristics
Journal of Global Optimization
Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series)
The influence of migration sizes and intervals on island models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Island Based Distributed Differential Evolution: An Experimental Study on Hybrid Testbeds
HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
Satellite Image Registration by Distributed Differential Evolution
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Distributed differential evolution with explorative---exploitative population families
Genetic Programming and Evolvable Machines
Scale factor inheritance mechanism in distributed differential evolution
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
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Migration strategy plays an important role in designing effective distributed evolutionary algorithms. Here, a novel migration model inspired to the phenomenon known as biological invasion is adopted. The migration strategy is implemented through a multistage process involving large invading subpopulations and their competition with native individuals. In this work such a general approach is used within an island parallel model adopting Differential Evolution as the local algorithm. The resulting distributed algorithm is evaluated on a set of well known test functions and its effectiveness is compared against that of a classical distributed Differential Evolution.