CEC
2010
IEEE
13 years 3 months ago
2010
IEEE
— Adaptive Information Filtering seeks a solution to the problem of information overload through a tailored representation of the user’s interests, called user profile, which ...
AE
2009
Springer
14 years 17 days ago
2009
Springer
Abstract. This paper presents a new Memetic Algorithm (MA) designed to compute near-optimal solutions for the covering array construction problem. It incorporates several distingui...
MICAI
2005
Springer
14 years 5 months ago
2005
Springer
In this paper the Minimum Linear Arrangement (MinLA) problem is studied within the framework of memetic algorithms (MA). A new dedicated recombination operator called Trajectory Cr...
GECCO
2005
Springer
14 years 5 months ago
2005
Springer
This paper is concerned with a specific brand of evolutionary algorithms: Memetic algorithms. A new local search technique with an adaptive neighborhood setting process is introdu...
AE
2005
Springer
14 years 5 months ago
2005
Springer
This paper presents a new Memetic Algorithm designed to compute near optimal solutions for the MinLA problem. It incorporates a highly specialized crossover operator, a fast MinLA ...
CIBCB
2005
IEEE
14 years 5 months ago
2005
IEEE
— 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...
IPPS
2006
IEEE
14 years 5 months ago
2006
IEEE
This work proposes a parallel memetic algorithm applied to the total tardiness single machine scheduling problem. Classical models of parallel evolutionary algorithms and the gene...
GECCO
2007
Springer
14 years 5 months ago
2007
Springer
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...
CEC
2007
IEEE
14 years 5 months ago
2007
IEEE
— Over the recent years, there has been increasing research activities made on improving the efficacy of Memetic Algorithm (MA) for solving complex optimization problems. Partic...