Genetic Algorithm Aided Optimization of Hierarchical Multiagent System Organization

Authors: Ling Yu, Zhiqi Shen, Chunyan Miao

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.ifaamas.org/Proceedings/aamas2011/papers/B14.pdf.

Subject Terms: I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search – heuristic methods. General Terms Algorithms Keywords Genetic Algorithm, Hierarchical Crossover, Multiagent Systems, Organization Design, Representation, Tree Structures

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.2502; http://www.ifaamas.org/Proceedings/aamas2011/papers/B14.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.2502
http://www.ifaamas.org/Proceedings/aamas2011/papers/B14.pdf

Genetic algorithms using lowdiscrepancy sequences

Authors: Shuhei Kimura, Koki Matsumura

Contributors: The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1341.pdf.

Subject Terms: I.2.8 [Artificial Intelligence, Problem Solving, Control Methods, and Search—Heuristic methods General Terms Algorithms Keywords Genetic algorithm, Random number generator, Pseudo-random number sequence, Low-discrepancy

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.7495; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1341.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.7495
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1341.pdf