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» Optgen: A Generator for Local Optimizations
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AAAI
2006
14 years 11 months ago
When a Decision Tree Learner Has Plenty of Time
The majority of the existing algorithms for learning decision trees are greedy--a tree is induced top-down, making locally optimal decisions at each node. In most cases, however, ...
Saher Esmeir, Shaul Markovitch
HM
2010
Springer
146views Optimization» more  HM 2010»
14 years 10 months ago
An Improved Memetic Algorithm for Break Scheduling
In this paper we consider solving a complex real life break scheduling problem. This problem of high practical relevance arises in many working areas, e.g. in air traffic control a...
Magdalena Widl, Nysret Musliu
EOR
2006
125views more  EOR 2006»
14 years 9 months ago
A genetic algorithm for robotic assembly line balancing
Flexibility and automation in assembly lines can be achieved by the use of robots. The robotic assembly line balancing (RALB) problem is defined for robotic assembly line, where d...
Gregory Levitin, Jacob Rubinovitz, Boris Shnits
IJHIS
2006
94views more  IJHIS 2006»
14 years 9 months ago
A new fine-grained evolutionary algorithm based on cellular learning automata
In this paper, a new evolutionary computing model, called CLA-EC, is proposed. This model is a combination of a model called cellular learning automata (CLA) and the evolutionary ...
Reza Rastegar, Mohammad Reza Meybodi, Arash Hariri
MONET
2006
107views more  MONET 2006»
14 years 9 months ago
Utilization and fairness in spectrum assignment for opportunistic spectrum access
The Open Spectrum approach to spectrum access can achieve near-optimal utilization by allowing devices to sense and utilize available spectrum opportunistically. However, a naive d...
Chunyi Peng, Haitao Zheng, Ben Y. Zhao