Sciweavers

CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 11 months ago
An Indirect Genetic Algorithm for a Nurse Scheduling Problem
This paper describes a Genetic Algorithms approach to a manpower-scheduling problem arising at a major UK hospital. Although Genetic Algorithms have been successfully used for sim...
Uwe Aickelin, Kathryn A. Dowsland
CORR
2008
Springer
110views Education» more  CORR 2008»
13 years 11 months ago
Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem
During our earlier research, it was recognised that in order to be successful with an indirect genetic algorithm approach using a decoder, the decoder has to strike a balance betw...
Uwe Aickelin, Kathryn A. Dowsland
CORR
2010
Springer
128views Education» more  CORR 2010»
13 years 11 months ago
A Performance Study of GA and LSH in Multiprocessor Job Scheduling
Multiprocessor task scheduling is an important and computationally difficult problem. This paper proposes a comparison study of genetic algorithm and list scheduling algorithm. Bo...
S. R. Vijayalakshmi, G. Padmavathi
BIODATAMINING
2008
85views more  BIODATAMINING 2008»
13 years 11 months ago
A review of estimation of distribution algorithms in bioinformatics
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformati...
Rubén Armañanzas, Iñaki Inza,...
GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
13 years 11 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
GECCO
2010
Springer
140views Optimization» more  GECCO 2010»
13 years 11 months ago
Shared memory genetic algorithms in a multi-agent context
In this paper we present a concurrent implementation of genetic algorithms designed for shared memory architectures intended to take advantage of multi-core processor platforms. O...
Dana Vrajitoru
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 15 days ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
14 years 15 days ago
Threshold selecting: best possible probability distribution for crossover selection in genetic algorithms
The paper considers the problem of selecting individuals in the current population in Genetic Algorithms for crossover to find a solution of high fitness of a given combinatoria...
Jörg Lässig, Karl Heinz Hoffmann, Mihael...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
14 years 15 days ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
14 years 15 days ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...