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» Using Genetic Algorithms for Solving Hard Problems in GIS
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GECCO
2006
Springer
215views Optimization» more  GECCO 2006»
14 years 4 days ago
A multi-chromosome approach to standard and embedded cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is an extension of Cartesian Genetic Programming (CGP) that can automatically acquire, evolve and re-use partial solutions in the for...
James Alfred Walker, Julian Francis Miller, Rachel...
GECCO
2007
Springer
167views Optimization» more  GECCO 2007»
14 years 2 months ago
Genetically designed heuristics for the bin packing problem
The bin packing problem (BPP) is a real-world problem that arises in different industrial applications related to minimization of space or time. The aim of this research is to au...
Oana Muntean
EVOW
2001
Springer
14 years 1 months ago
Autonomous Photogrammetric Network Design Using Genetic Algorithms
Abstract. This work describes the use of genetic algorithms for automating the photogrammetric network design process. When planning a photogrammetric network, the cameras should b...
Gustavo Olague
CEC
2007
IEEE
14 years 2 months ago
A Memetic Algorithm for test data generation of Object-Oriented software
— Generating test data for Object-Oriented (OO) software is a hard task. Little work has been done on the subject, and a lot of open problems still need to be investigated. In th...
Andrea Arcuri, Xin Yao
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 9 months ago
The study for transportation planning considered the inventory using hybrid genetic algorithm
The transportation planning (TP) is well-known basic network problem. However, for some real-world applications, it is often that the TP model is extended to satisfy other additio...
Shinichiro Ataka, Mitsuo Gen