Back to Results
First PageMeta Content
Computer programming / Parallel computing / Parallel algorithm / Premature convergence / Deme / Selection / Speedup / Mutation / Genetic operator / Genetic algorithms / Computing / Applied mathematics


A Survey of Parallel Genetic Algorithms Erick Cantú-Paz Department of Computer Science and Illinois Genetic Algorithms Laboratory University of Illinois at Urbana-Champaign [removed]
Add to Reading List

Document Date: 2009-03-10 12:56:25


Open Document

File Size: 149,00 KB

Share Result on Facebook

Company

Fujitsu / /

Country

Netherlands / /

/

Facility

Illinois Genetic Algorithms Laboratory University of Illinois / /

IndustryTerm

parallel algorithms / dynamic scheduling algorithm / adequate solutions / stochastic search algorithms / low communications / Genetic algorithms / secondary operator / exploratory search / parallel genetic algorithms / search techniques / fewer and more powerful processing elements / candidate solutions / divided population found solutions / slave processors / hierarchical genetic algorithms / search space / communication found solutions / search behavior / acceptable solutions / search methods / secondary search operator / /

Organization

University of Illinois / Parallel Genetic Algorithms Erick Cantú-Paz Department of Computer Science / /

Person

John Holland / Erick Cantú-Paz / /

Position

representative / /

ProvinceOrState

Georgia / /

Technology

parallel algorithms / 16 processors / 5 using 6 processors / BBs / one processor / slow processors / slave processors / 128 processors / hierarchical genetic algorithms / parallel genetic algorithms / stochastic search algorithms / simulation / shared memory / recombination / Introduction Genetic Algorithms / dynamic scheduling algorithm / /

SocialTag