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» Likelihood Computations Using Value Abstraction
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CEC
2010
IEEE
13 years 11 months ago
Defining locality in genetic programming to predict performance
Abstract-- A key indicator of problem difficulty in evolutionary computation problems is the landscape's locality, that is whether the genotype-phenotype mapping preserves nei...
Edgar Galván López, James McDermott,...
PPSN
1994
Springer
14 years 2 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph
AAIM
2005
Springer
110views Algorithms» more  AAIM 2005»
14 years 3 months ago
Dynamically Updating the Exploiting Parameter in Improving Performance of Ant-Based Algorithms
Abstract. The utilization of pseudo-random proportional rule to balance between the exploitation and exploration of the search process was shown in Ant Colony System (ACS) algorith...
Hoang Trung Dinh, Abdullah Al Mamun, Hieu T. Dinh
ASM
2003
ASM
14 years 3 months ago
Remarks on Turbo ASMs for Functional Equations and Recursion Schemes
The question raised in [15] is answered how to naturally dely used forms of recursion by abstract machines. We show that turbo ASMs as defined in [7] allow one to faithfully refl...
Egon Börger, Tommaso Bolognesi
GECCO
2004
Springer
14 years 3 months ago
Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms
Abstract. This paper presents an intelligent method based on multiuobjective genetic algorithm (MOGA) for prediction of limit cycle in multivariable nonlinear systems. First we add...
Farzan Rashidi, Mehran Rashidi