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» Using Genetic Algorithms for Solving Hard Problems in GIS
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ICCSA
2007
Springer
14 years 2 months ago
3D Spatial Operations in Geo DBMS Environment for 3D GIS
Next generation of GIS software should be able to manipulate and analyse complex situations of real world phenomena. One of the desired components in such software or system is the...
Chen Tet-Khuan, Alias Abdul-Rahman, Sisi Zlatanova
EOR
2007
77views more  EOR 2007»
13 years 8 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 1 months ago
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem
Among the many codings of spanning trees for evolutionary search are those based on bijections between Pr¨ufer strings—strings of n−2 vertex labels—and spanning trees on th...
Bryant A. Julstrom
ENGL
2006
170views more  ENGL 2006»
13 years 8 months ago
Hybrid Genetic Algorithms: A Review
Hybrid genetic algorithms have received significant interest in recent years and are being increasingly used to solve real-world problems. A genetic algorithm is able to incorporat...
Tarek A. El-Mihoub, Adrian A. Hopgood, Lars Nolle,...
HEURISTICS
2002
146views more  HEURISTICS 2002»
13 years 8 months ago
Hybrid Genetic Algorithm for DNA Sequencing with Errors
In the paper, a new hybrid genetic algorithm solving the DNA sequencing problem with negative and positive errors is presented. The algorithm has as its input a set of oligonucleo...
Jacek Blazewicz, Marta Kasprzak, Wojciech Kuroczyc...