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» Optimization Problems in Congestion Control
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GECCO
2009
Springer
144views Optimization» more  GECCO 2009»
15 years 10 months ago
Cheating for problem solving: a genetic algorithm with social interactions
We propose a variation of the standard genetic algorithm that incorporates social interaction between the individuals in the population. Our goal is to understand the evolutionary...
Rafael Lahoz-Beltra, Gabriela Ochoa, Uwe Aickelin
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 10 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
15 years 10 months ago
Evolving problem heuristics with on-line ACGP
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees. ...
Cezary Z. Janikow
HICSS
1994
IEEE
149views Biometrics» more  HICSS 1994»
15 years 8 months ago
Stochastic Problem Solving by Local Computation Based on Self-Organization Paradigm
We are developing a new problem-solving methodology based on a self-organization paradigm. To realize our future goal of self-organizing computational systems, we have to study co...
Yasusi Kanada, Masao Hirokawa
139
Voted
COR
2006
122views more  COR 2006»
15 years 4 months ago
Experimental Analysis of Approximation Algorithms for the Vertex Cover and Set Covering Problems
Several approximation algorithms with proven performance guarantees have been proposed to find approximate solutions to classical combinatorial optimization problems. However, the...
Fernando C. Gomes, Cláudio Nogueira de Mene...