An introduction to genetic algorithms
An introduction to genetic algorithms
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
The Unified Modeling Language user guide
The Unified Modeling Language user guide
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
Evolution strategies –A comprehensive introduction
Natural Computing: an international journal
Parallel GA-Based Wrapper Feature Selection for Spectroscopic Data Mining
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A Framework for Distributed Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
MALLBA: A Library of Skeletons for Combinatorial Optimisation (Research Note)
Euro-Par '02 Proceedings of the 8th International Euro-Par Conference on Parallel Processing
Evolving Objects: A General Purpose Evolutionary Computation Library
Selected Papers from the 5th European Conference on Artificial Evolution
An Enabling Framework for Master-Worker Applications on the Computational Grid
HPDC '00 Proceedings of the 9th IEEE International Symposium on High Performance Distributed Computing
Localizer++: An Open Library for local Search
Localizer++: An Open Library for local Search
EasyLocal++: an object-oriented framework for the flexible design of local-search algorithms
Software—Practice & Experience
Building with paradisEO reusable parallel and distributed evolutionary algorithms
Parallel Computing - Special issue: Parallel and nature-inspired computational paradigms and applications
Distributed computing in practice: the Condor experience: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
Evolutionary computation: comments on the history and current state
IEEE Transactions on Evolutionary Computation
Parallelism and evolutionary algorithms
IEEE Transactions on Evolutionary Computation
Parallel Approaches for Multiobjective Optimization
Multiobjective Optimization
A Hierarchical Approach in Distributed Evolutionary Algorithms for Multiobjective Optimization
Large-Scale Scientific Computing
A grid-enabled asynchronous metamodel-assisted evolutionary algorithm for aerodynamic optimization
Genetic Programming and Evolvable Machines
Evolutionary multi-objective optimization on grid environments
PDCN '08 Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks
Characterizing fault tolerance in genetic programming
Future Generation Computer Systems
EvoCOP'11 Proceedings of the 11th European conference on Evolutionary computation in combinatorial optimization
Towards paradisEO-MO-GPU: a framework for GPU-based local search metaheuristics
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
GPU-Based multi-start local search algorithms
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
Convergence analysis of evolutionary algorithms in the presence of crash-faults and cheaters
Computers & Mathematics with Applications
Massively parallel feature selection: an approach based on variance preservation
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
ParadisEO-MO-GPU: a framework for parallel GPU-based local search metaheuristics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Customizable execution environments for evolutionary computation using BOINC + virtualization
Natural Computing: an international journal
Topological effects on the performance of island model of parallel genetic algorithm
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
| Hi-index | 0.00 |
This paper focuses on solving large size combinatorial optimization problems using a Grid-enabled framework called ParadisEO-CMW (Parallel and Distributed EO on top on Condor and the Master Worker Framework). The latter is an extension of ParadisEO, an open source framework originally intended to the design and deployment of parallel hybrid meta-heuristics on dedicated clusters and networks of workstations. Relying on the Condor-MW framework, it enables the execution of these applications on volatile heterogeneous computational pools of resources. The motivations, architecture and main features will be discussed. The framework has been experimented on a real-world problem: feature selection in near-infrared spectroscopic data mining. It has been solved by deploying a multi-level parallel model of evolutionary algorithms. Experimentations have been carried out on more than 100 PCs originally intended for education. The obtained results are convincing, both in terms of flexibility and easiness at implementation, and in terms of efficiency, quality and robustness of the provided solutions at run time.