Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Numerical Optimization of Computer Models
Numerical Optimization of Computer Models
A Framework for Distributed Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Island Model genetic Algorithms and Linearly Separable Problems
Selected Papers from AISB Workshop on Evolutionary Computing
CALYPSO: a novel software system for fault-tolerant parallel processing on distributed platforms
HPDC '95 Proceedings of the 4th IEEE International Symposium on High Performance Distributed Computing
Starfish: Fault-Tolerant Dynamic MPI Programs on Clusters of Workstations
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
Maintaining Connectivity in a Scalable and Robust Distributed Environment
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series)
A Performability-Oriented Software Rejuvenation Framework for Distributed Applications
DSN '05 Proceedings of the 2005 International Conference on Dependable Systems and Networks
On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming
PDP '07 Proceedings of the 15th Euromicro International Conference on Parallel, Distributed and Network-Based Processing
Are multiple runs of genetic algorithms better than one?
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
A distributed pool architecture for genetic algorithms
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Resilience to churn of a peer-to-peer evolutionary algorithm
International Journal of High Performance Systems Architecture
Applied Computational Intelligence and Soft Computing - Special issue on theory and applications of evolutionary computation
Convergence analysis of evolutionary algorithms in the presence of crash-faults and cheaters
Computers & Mathematics with Applications
| Hi-index | 0.00 |
In this paper, we present a study on the fault tolerance nature of the island model when applied to Genetic Algorithms. Parallel and distributed models have been extensively applied to GAs when researchers tackle hard problems. The idea is both to reduce computing time while also improving diversity of populations and therefore quality of solutions. Nevertheless, there are few works dealing with the problem of faults that are usually present when a distributed infrastructure is employed for running the parallel algorithm. This paper studies the behavior of the Island Model when faults appear on a parallel computer or a network of computers. Two benchmark problems have been employed, and good results obtained for each of them allow us to reliably consider Island Model as a fault tolerant parallel algorithm.