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IC3
2009
13 years 6 months ago
A Hybrid Grouping Genetic Algorithm for Multiprocessor Scheduling
Abstract. This paper describes a hybrid grouping genetic algorithm for a multiprocessor scheduling problem, where a list of tasks has to be scheduled on identical parallel processo...
Alok Singh, Marc Sevaux, André Rossi
PPSN
1994
Springer
14 years 28 days ago
Convergence Models of Genetic Algorithm Selection Schemes
We discuss the use of normal distribution theory as a tool to model the convergence characteristics of di erent GA selection schemes. The models predict the proportion of optimal a...
Dirk Thierens, David E. Goldberg
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 10 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
PPSN
2004
Springer
14 years 2 months ago
Multi-objective Optimisation by Co-operative Co-evolution
This paper presents the integration between a co-operative co-evolutionary genetic algorithm (CCGA) and four evolutionary multiobjective optimisation algorithms (EMOAs): a multi-ob...
Kuntinee Maneeratana, Kittipong Boonlong, Nachol C...
JCIT
2010
150views more  JCIT 2010»
13 years 3 months ago
Characteristic Description of Coupled Task Sets Based on Design Structure Matrix and Its Optimal Time and Efforts Solution by Ge
The complicated interactions among tasks lead to iterations in product design and development. To maintain the market share, enterprises should effectively manage their product de...
Ting-gui Chen, Chun-hua Ju