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» Genetic Programming Applied to Mixed Integer Programming
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85
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ICML
2010
IEEE
14 years 9 months ago
A DC Programming Approach for Sparse Eigenvalue Problem
We investigate the sparse eigenvalue problem which arises in various fields such as machine learning and statistics. Unlike standard approaches relying on approximation of the l0n...
Mamadou Thiao, Pham Dinh Tao, Le Thi Hoai An
ISCAS
1999
IEEE
82views Hardware» more  ISCAS 1999»
15 years 1 months ago
Synthesis of low coefficient sensitivity digital filters using genetic programming
This paper proposes a new approach to the synthesis of low coefficient sensitivity digital filters using Genetic Programming (GP). GP is applied to the synthesis problem by establi...
K. Uesaka, M. Kawamata
WEA
2010
Springer
243views Algorithms» more  WEA 2010»
15 years 4 months ago
Experiments with a Feasibility Pump Approach for Nonconvex MINLPs
We present a new Feasibility Pump algorithm tailored for nonconvex Mixed Integer Nonlinear Programming problems. Differences with the previously proposed Feasibility Pump algorith...
Claudia D'Ambrosio, Antonio Frangioni, Leo Liberti...
85
Voted
CIG
2006
IEEE
15 years 3 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone
SAT
2009
Springer
119views Hardware» more  SAT 2009»
15 years 4 months ago
Backdoors in the Context of Learning
The concept of backdoor variables has been introduced as a structural property of combinatorial problems that provides insight into the surprising ability of modern satisfiability...
Bistra N. Dilkina, Carla P. Gomes, Ashish Sabharwa...