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EOR
2010
107views more  EOR 2010»
13 years 7 months ago
An optimization-based heuristic for the robotic cell problem
This study investigates an optimization-based heuristic for the Robotic Cell Problem. This problem arises in automated cells and is a complex ow shop problem with a single transpo...
Jacques Carlier, Mohamed Haouari, Mohamed Kharbech...
MICRO
2002
IEEE
121views Hardware» more  MICRO 2002»
13 years 7 months ago
Convergent scheduling
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...
ECML
2007
Springer
14 years 1 months ago
Multi-objective Genetic Programming for Multiple Instance Learning
Abstract. This paper introduces the use of multi-objective evolutionary algorithms in multiple instance learning. In order to achieve this purpose, a multi-objective grammar-guided...
Amelia Zafra, Sebastián Ventura
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 20 days ago
Evolving Consensus Sequence for Multiple Sequence Alignment with a Genetic Algorithm
In this paper we present an approach that evolves the consensus sequence [25] for multiple sequence alignment (MSA) with genetic algorithm (GA). We have developed an encoding schem...
Conrad Shyu, James A. Foster
ASC
2008
13 years 7 months ago
Development of scheduling strategies with Genetic Fuzzy systems
This paper presents a methodology for automatically generating online scheduling strategies for a complex objective defined by a machine provider. To this end, we assume independe...
Carsten Franke, Frank Hoffmann, Joachim Lepping, U...