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» A Bayesian Approach to Tackling Hard Computational Problems
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GECCO
2007
Springer
161views Optimization» more  GECCO 2007»
15 years 5 months ago
Alternative techniques to solve hard multi-objective optimization problems
In this paper, we propose the combination of different optimization techniques in order to solve “hard” two- and threeobjective optimization problems at a relatively low comp...
Ricardo Landa Becerra, Carlos A. Coello Coello, Al...
GECCO
2007
Springer
189views Optimization» more  GECCO 2007»
15 years 2 months ago
A genetic algorithm with exon shuffling crossover for hard bin packing problems
A novel evolutionary approach for the bin packing problem (BPP) is presented. A simple steady-state genetic algorithm is developed that produces results comparable to other approa...
Philipp Rohlfshagen, John A. Bullinaria
EOR
2007
77views more  EOR 2007»
14 years 11 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff
ALGORITHMICA
2004
111views more  ALGORITHMICA 2004»
14 years 11 months ago
Automated Generation of Search Tree Algorithms for Hard Graph Modification Problems
We present a framework for an automated generation of exact search tree algorithms for NP-hard problems. The purpose of our approach is two-fold--rapid development and improved up...
Jens Gramm, Jiong Guo, Falk Hüffner, Rolf Nie...
EUROCRYPT
2003
Springer
15 years 4 months ago
CAPTCHA: Using Hard AI Problems for Security
We introduce captcha, an automated test that humans can pass, but current computer programs can’t pass: any program that has high success over a captcha can be used to solve an u...
Luis von Ahn, Manuel Blum, Nicholas J. Hopper, Joh...