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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»
15 years 2 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...
97
Voted
GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
15 years 3 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
15 years 3 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
180
Voted
INFOCOM
2009
IEEE
15 years 9 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»
15 years 6 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