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» A Genetic Algorithm Applied to the Maximum Flow Problem
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CORR
2006
Springer
74views Education» more  CORR 2006»
13 years 7 months ago
Scheduling Algorithms for Procrastinators
This paper presents scheduling algorithms for procrastinators, where the speed that a procrastinator executes a job increases as the due date approaches. We give optimal off-line ...
Michael A. Bender, Raphaël Clifford, Kostas T...
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 8 months ago
Potential fitness for genetic programming
We introduce potential fitness, a variant of fitness function that operates in the space of schemata and is applicable to tree-based genetic programing. The proposed evaluation ...
Krzysztof Krawiec, PrzemysBaw Polewski
FOGA
1998
13 years 9 months ago
Understanding Interactions among Genetic Algorithm Parameters
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
Kalyanmoy Deb, Samir Agrawal
INFOCOM
2009
IEEE
14 years 2 months ago
Locally vs. Globally Optimized Flow-Based Content Distribution to Mobile Nodes
—The paper deals with efficient distribution of timely information to flows of mobile devices. We consider the case where a set of Information Dissemination Devices (IDDs) broa...
Mhameed Aezladen, Reuven Cohen, Danny Raz
GECCO
2006
Springer
190views Optimization» more  GECCO 2006»
13 years 11 months ago
Effective genetic approach for optimizing advanced planning and scheduling in flexible manufacturing system
In this paper, a novel approach for designing chromosome has been proposed to improve the effectiveness, which called multistage operation-based genetic algorithm (moGA). The obje...
Haipeng Zhang, Mitsuo Gen