Cellular Differential Evolution for Optimization

Gui Wu Hu; Xiao Yong Du

doi:10.4028/www.scientific.net/KEM.474-476.1770

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Design and Finite Element Analysis on Crown Gear Coupling of High Torque Considering Radial Restriction
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Using Genetic Algorithm to Help the Seller Strategies in Online Auction
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A Novel ECC-Based RFID Authentication Protocol
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Cellular Differential Evolution for Optimization
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Chord-Based Indexing Model to Support Complex Query and Load Balancing
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HomeKey Engineering MaterialsKey Engineering Materials Vols. 474-476Cellular Differential Evolution for Optimization

Cellular Differential Evolution for Optimization

Abstract:

This paper is to illustrate the Cellular Differential Evolution with the cellular structure originated from Cellular automata. Cellular neighbor local search has been designed; base vector or global best in mutation operator is substituted by neighborhood-best, which overcomes the weakness of single selection relating to global best, and balances the contradiction of local and global search, and improves the diversity of population. In addition, cellular structure ensures information exchange, inheritance and diffusion. Finally, a specific algorithm has been implemented: compared with similar variants of DE, the simulation results on 9 benchmark functions demonstrate that cellular differential evolutions are provided with obvious advantages in the solution-quality, stability and speed.

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Key Engineering Materials (Volumes 474-476)

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1770-1775

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.474-476.1770

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Online since:

April 2011

Authors:

Gui Wu Hu, Xiao Yong Du

Keywords:

Cellular Automata (CA), Differential Evolution (DE), Local Search, Mutation

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