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GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 7 months ago
A new collaborative evolutionary-swarm optimization technique
A new hybrid approach to optimization in dynamical environments called Collaborative Evolutionary-Swarm Optimization (CESO) is presented. CESO tracks moving optima in a dynamical ...
Rodica Ioana Lung, D. Dumitrescu
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
15 years 7 months ago
Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational”...
Travis Kriplean
EH
1999
IEEE
141views Hardware» more  EH 1999»
15 years 6 months ago
On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions
An evolutionary algorithm is used to evolve a digital circuit which computes a simple hash function mapping a 16bit address space into an 8-bit one. The target technology is FPGA,...
Ernesto Damiani, Andrea Tettamanzi, Valentino Libe...
CEC
2005
IEEE
15 years 3 months ago
A new approach to dynamics analysis of genetic algorithms without selection
Abstract- Theoretical analysis of the dynamics of evolutionary algorithms is believed to be very important to understand the search behavior of evolutionary algorithms and to devel...
Tatsuya Okabe, Yaochu Jin, Bernhard Sendhoff
TEC
2008
98views more  TEC 2008»
15 years 1 months ago
A Fast Incremental Hypervolume Algorithm
When hypervolume is used as part of the selection or archiving process in a multiobjective evolutionary algorithm, it is necessary to determine which solutions contribute the least...
Lucas Bradstreet, R. Lyndon While, Luigi Barone