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GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
14 years 2 months ago
An effective genetic algorithm for the minimum-label spanning tree problem
Given a connected, undirected graph G with labeled edges, the minimum-label spanning tree problem seeks a spanning tree on G to whose edges are attached the smallest possible numb...
Jeremiah Nummela, Bryant A. Julstrom
MP
1998
117views more  MP 1998»
13 years 10 months ago
The node capacitated graph partitioning problem: A computational study
In this paper we consider the problem of ^-partitioning the nodes of a graph with capacity restrictions on the sum of the node weights in each subset of the partition, and the obje...
Carlos Eduardo Ferreira, Alexander Martin, C. Carv...
MANSCI
2010
92views more  MANSCI 2010»
13 years 9 months ago
A Quantitative Measurement of Regret Theory
This paper introduces a choice-based method that for the first time makes it possible to quantitatively measure regret theory, one of the most popular models of decision under unc...
Han Bleichrodt, Alessandra Cillo, Enrico Diecidue
NPL
2006
109views more  NPL 2006»
13 years 11 months ago
CB3: An Adaptive Error Function for Backpropagation Training
Effective backpropagation training of multi-layer perceptrons depends on the incorporation of an appropriate error or objective function. Classification-based (CB) error functions ...
Michael Rimer, Tony Martinez
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
14 years 2 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener