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HyGLEAM–An Approach to Generally Applicable Hybridization of Evolutionary Algorithms [chapter]

Wilfried Jakob
2002 Lecture Notes in Computer Science  
Most successful applications of Evolutionary Algorithms to real world problems employ some sort of hybridization, thus speeding up the optimization process but turning the general applicable Evolutionary  ...  This paper proposes to combine Evolutionary Algorithms and generally applicable local searchers to get the best of both approaches: A fast, but robust tool for global optimization.  ...  Methods of Hybridization For a generally applicable hybridization of an EA, four general alternatives exist: 1.  ... 
doi:10.1007/3-540-45712-7_51 fatcat:d7fswoucjjhltcjarxl4e4zs5a

Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms [chapter]

Wilfried Jakob, Christian Blume, Georg Bretthauer
2004 Lecture Notes in Computer Science  
Incorporating domain-specific knowledge by problem-tailored heuristics or local searchers is a commonly used solution, but turns the generally applicable Evolutionary Algorithm into a problem-specific  ...  The new method of hybridization implemented in HyGLEAM is aimed at overcoming this limitation and getting the best of both algorithm classes: A fast, globally searching, and robust procedure that preserves  ...  Introduction The Evolutionary Algorithm (EA) GLEAM (General Learning Evolutionary Algorithm and Method) introduced by Blume [1] was successfully applied to a broad range of real-world applications in  ... 
doi:10.1007/978-3-540-24854-5_81 fatcat:aqiqekivlrfdlcsxueiqzfj454

HyGLEAM: Hybrid general purpose evolutionary algorithm and method

W. Jakob
2001
This article describes the approach of combining the Evolutionary Algorithm GLEAM with general local search strategies to obtain the best of both procedures by avoiding their drawbacks: HyGLEAM, a robust  ...  When applied to real world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to expensive fitness calculations often based on run-time-intensive  ...  HYBRID GLEAM Methods of Hybridization For a generally applicable hybridization of an EA three general alternatives exist: Initialization of the start population This provides the evolution with valid  ... 
doi:10.5445/ir/170049221 fatcat:ii4ynyej4bg7fbu5d4la6tweku

Fast Rescheduling of Multiple Workflows to Constrained Heterogeneous Resources Using Multi-Criteria Memetic Computing

Wilfried Jakob, Sylvia Strack, Alexander Quinte, Günther Bengel, Karl-Uwe Stucky, Wolfgang Süß
2013 Algorithms  
This paper summarizes our work over the last six years in this field, and reports new results obtained by the combination of heuristics and evolutionary search in an adaptive Memetic Algorithm.  ...  Furthermore, the effect of four different local searchers incorporated into the evolutionary search is studied.  ...  Acknowledgements We acknowledge support by Deutsche Forschungsgemeinschaft and Open Access Publishing Fund of Karlsruhe Institute of Technology.  ... 
doi:10.3390/a6020245 fatcat:mhopyohtbfcdtfl43w6fic4goe

Planning and Metaheuristic Optimization in Production Job Scheduler [chapter]

Dalibor Klusáček, Václav Chlumský
2017 Lecture Notes in Computer Science  
Using both complex simulations and practical deployment in a real system, we show that this approach increases predictability, performance and fairness with respect to a common queue-based scheduler.  ...  Presented scheduler has been successfully used in the production infrastructure of the Czech Centre for Education, Research and Innovation in ICT (CERIT Scientific Cloud) since July 2014.  ...  We also highly appreciate the access to CERIT Scientific Cloud workload traces.  ... 
doi:10.1007/978-3-319-61756-5_11 fatcat:elsg6swvzfhl3ehusxbaqnht2m