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» Crossover in Probability Spaces
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PODC
1989
ACM
14 years 2 months ago
Knowledge, Probability, and Adversaries
: What should it mean for an agent to know or believe an assertion is true with probability :99? Di erent papers FH88, FZ88, HMT88] give di erent answers, choosing to use quite di ...
Joseph Y. Halpern, Mark R. Tuttle
GECCO
2007
Springer
190views Optimization» more  GECCO 2007»
14 years 4 months ago
Analysis of evolutionary algorithms for the longest common subsequence problem
In the longest common subsequence problem the task is to find the longest sequence of letters that can be found as subsequence in all members of a given finite set of sequences....
Thomas Jansen, Dennis Weyland
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
14 years 4 months ago
Adaptive genetic programming for option pricing
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
Zheng Yin, Anthony Brabazon, Conall O'Sullivan
TSMC
2002
93views more  TSMC 2002»
13 years 9 months ago
Statistical analysis of the main parameters involved in the design of a genetic algorithm
Abstract--Most genetic algorithm (GA) users adjust the main parameters of the design of a GA (crossover and mutation probability, population size, number of generations, crossover,...
Ignacio Rojas, Jesús González, H&eac...
ICTAI
2003
IEEE
14 years 3 months ago
Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree
Computing and storing probabilities is a hard problem as soon as one has to deal with complex distributions over multiples random variables. The problem of efficient representati...
David Bellot, Pierre Bessière