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» On Genetic Algorithms and Lindenmayer Systems
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GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
15 years 11 months ago
Multi-FPGA Systems Synthesis by Means of Evolutionary Computation
Abstract. Multi-FPGA systems (MFS) are used for a great variety of applications, for instance, dynamically re-configurable hardware applications, digital circuit emulation, and num...
José Ignacio Hidalgo, Francisco Ferná...
GECCO
2003
Springer
121views Optimization» more  GECCO 2003»
15 years 11 months ago
Evolving Hogg's Quantum Algorithm Using Linear-Tree GP
Intermediate measurements in quantum circuits compare to conditional branchings in programming languages. Due to this, quantum circuits have a natural linear-tree structure. In thi...
André Leier, Wolfgang Banzhaf
GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
15 years 11 months ago
A multiple objective evolutionary algorithm for multiple sequence alignment
The problem of multiple sequence alignment is important for bioinformatics. This problem is widely studied and a popular tool to solve this problem is Clustal X. This work introdu...
Pasut Seeluangsawat, Prabhas Chongstitvatana
GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 9 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
AE
2007
Springer
16 years 15 days ago
Automatic Design of Vision-Based Obstacle Avoidance Controllers Using Genetic Programming
The work presented in this paper is part of the development of a robotic system able to learn context dependent visual clues to navigate in its environment. We focus on the obstacl...
Renaud Barate, Antoine Manzanera