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EOR
2002
125views more  EOR 2002»
13 years 7 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz
BIODATAMINING
2008
163views more  BIODATAMINING 2008»
13 years 7 months ago
Multivariate profiling of neurodegeneration-associated changes in a subcellular compartment of neurons via image processing
Background: Dysfunction in the endolysosome, a late endosomal to lysosomal degradative intracellular compartment, is an early hallmark of some neurodegenerative diseases, in parti...
Saravana K. Kumarasamy, Yunshi Wang, Vignesh Viswa...
CEC
2007
IEEE
14 years 1 months ago
Implicit alternative splicing for genetic algorithms
— In this paper we present a new nature-inspired variation operator for binary encodings in genetic algorithms (GAs). Our method, called implicit alternative splicing (iAS), is r...
Philipp Rohlfshagen, John A. Bullinaria
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 8 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
WCNC
2010
IEEE
13 years 11 months ago
Deploying Wireless Sensors for Differentiated Coverage and Probabilistic Connectivity
—The deployment strategy for achieving differentiated coverage and probabilistic connectivity in wireless sensor networks is studied in this paper. A novel solution based on elit...
Yanjun Li, Ye-Qiong Song, Yi-hua Zhu, René ...