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» Evolving Quantum Circuits Using Genetic Algorithm
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GAMEON
2008
15 years 3 months ago
Generating Emergent Team Strategies in Football Simulation Videogames via Genetic Algorithms
This paper defends the use of evolutionary algorithms to generate (and evolve) strategies that manage the behavior of a team in simulated football videogames. The chosen framework...
Antonio J. Fernández, Carlos Cotta, Rafael ...
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 7 months ago
Evaluation of Parameter Sensitivity for Portable Embedded Systems through Evolutionary Techniques
Power consumption and portability issues are becoming increasingly significant in embedded system architectures. Therefore, it is important that chip architects and integrated circ...
James Northern III, Michael A. Shanblatt
CEC
2011
IEEE
14 years 2 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
ICES
2003
Springer
151views Hardware» more  ICES 2003»
15 years 7 months ago
Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
This paper presents a methodology to design optimized electronic systems from high abstraction level descriptions. The methodology uses Genetic Programming in addition to high-leve...
Sérgio G. Araújo, Antônio C. M...
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
15 years 8 months ago
An evolutionary platform for developing next-generation electronic circuits
In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generatio...
James A. Hilder, Andy M. Tyrrell