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GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
15 years 27 days ago
Testing parallelization paradigms for MOEAs
In this paper, we report on our investigation of factors affecting the performance of various parallelization paradigms for multiobjective evolutionary algorithms. Different paral...
Sadeesha Gamhewa, Philip Hingston
EH
2000
IEEE
123views Hardware» more  EH 2000»
15 years 4 months ago
The Test Vector Problem and Limitations to Evolving Digital Circuits
How do we know the correctness of an evolved circuit? While Evolutionary Hardware is exhibiting its effectiveness, we argue that it is very difficult to design a large-scale digit...
Kosuke Imamura, James A. Foster, Axel W. Krings
EH
1999
IEEE
141views Hardware» more  EH 1999»
15 years 4 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...
EH
2002
IEEE
112views Hardware» more  EH 2002»
15 years 4 months ago
Evolving Circuits in Seconds: Experiments with a Stand-Alone Board-Level Evolvable System
The purpose of this paper is twofold: first, to illustrate a stand-alone board-level evolvable system (SABLES) and its performance, and second to illustrate some problems that occ...
Adrian Stoica, Ricardo Salem Zebulum, Michael I. F...
MICAI
2007
Springer
15 years 6 months ago
Handling Constraints in Particle Swarm Optimization Using a Small Population Size
This paper presents a particle swarm optimizer for solving constrained optimization problems which adopts a very small population size (five particles). The proposed approach uses...
Juan Carlos Fuentes Cabrera, Carlos A. Coello Coel...