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GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
15 years 7 months ago
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
Bryant A. Julstrom
116
Voted
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 9 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
123
Voted
GECCO
2009
Springer
15 years 8 months ago
Search based data sensitivity analysis applied to requirement engineering
Software engineering is plagued by problems associated with unreliable cost estimates. This paper introduces an approach to sensitivity analysis for requirements engineering. It u...
Mark Harman, Jens Krinke, Jian Ren, Shin Yoo
140
Voted
GECCO
2006
Springer
148views Optimization» more  GECCO 2006»
15 years 7 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
UAI
2003
15 years 5 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...