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» Optimizing Sorting with Genetic Algorithms
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CEC
2005
IEEE
15 years 3 months ago
A model-based evolutionary algorithm for bi-objective optimization
Abstract- The Pareto optimal solutions to a multiobjective optimization problem often distribute very regularly in both the decision space and the objective space. Most existing ev...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward P. K....
GECCO
2005
Springer
150views Optimization» more  GECCO 2005»
15 years 3 months ago
A GA for maximum likelihood phylogenetic inference using neighbour-joining as a genotype to phenotype mapping
Evolutionary relationships among species can be represented by a phylogenetic tree and inferred by optimising some measure of fitness, such as the statistical likelihood of the t...
Leon Poladian
CEC
2010
IEEE
14 years 10 months ago
Generating a novel sort algorithm using Reinforcement Programming
Abstract-- Reinforcement Programming (RP) is a new approach to automatically generating algorithms, that uses reinforcement learning techniques. This paper describes the RP approac...
Spencer K. White, Tony R. Martinez, George L. Rudo...
ICPP
1995
IEEE
15 years 1 months ago
Sorting and Selection on Distributed Memory Bus Computers
In this paper we study the problems of sorting and selection on the Distributed Memory Bus Computer (DMBC) recently introduced by Sahni. In particular we present: 1) An efficient a...
Sanguthevar Rajasekaran, Sartaj Sahni
EMO
2006
Springer
173views Optimization» more  EMO 2006»
15 years 1 months ago
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
This paper presents a comprehensive comparison between the performance of state-of-the-art genetic algorithms NSGA-II, SPEA2 and IBEA and their differential evolution based variant...
Tea Tusar, Bogdan Filipic