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108
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GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 8 months ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith
CIBCB
2005
IEEE
15 years 7 months ago
Feedback Memetic Algorithms for Modeling Gene Regulatory Networks
— In this paper we address the problem of finding gene regulatory networks from experimental DNA microarray data. We focus on the evaluation of the performance of memetic algori...
Christian Spieth, Felix Streichert, Jochen Supper,...
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
15 years 2 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small
GECCO
2008
Springer
147views Optimization» more  GECCO 2008»
15 years 2 months ago
On selecting the best individual in noisy environments
In evolutionary algorithms, the typical post-processing phase involves selection of the best-of-run individual, which becomes the final outcome of the evolutionary run. Trivial f...
Wojciech Jaskowski, Wojciech Kotlowski
130
Voted
CEC
2007
IEEE
15 years 8 months ago
An evolutionary progressive multiple sequence alignment
Abstract This paper presents a new evolutionary method, namely, a Two Phase evolutionary algorithm for multiple sequence alignments. This method is composed of different types of e...
Farhana Naznin, Morikazu Nakamura, Takeo Okazaki, ...