The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators
Artificial Intelligence Review
A Framework for Distributed Evolutionary Algorithms
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Modelling and Simulation of Distributed Evolutionary Search Processes for Function Optimization
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Optimization Using Distributed Genetic Algorithms
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Finding Cuts in the TSP (A preliminary report)
Finding Cuts in the TSP (A preliminary report)
An enabling framework for parallel optimization on the computational grid
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Parallel Approaches for Multiobjective Optimization
Multiobjective Optimization
Evolutionary optimization of layouts for high density free space optical network links
Proceedings of the 13th annual conference on Genetic and evolutionary computation
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In the recent years an increasing number of computational grids have been built, providing an unprecedented amount of computational power. Based on their inherent parallelism, Evolutionary Algorithms are well suited for distributed execution in such grids. Unfortunately, there are several challenges concerning the usage of a grid infrastructure (e.g. the synchronization and submission of jobs and file transfer tasks). In this paper we present a new framework which makes a Globus based grid easily accessible for Evolutionary Algorithms and takes care of the parallelization. The usability is demonstrated by the example of an Evolutionary Algorithm for the Traveling Salesman Problem.