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GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 3 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
LCTRTS
1999
Springer
15 years 4 months ago
Optimizing for Reduced Code Space using Genetic Algorithms
Code space is a critical issue facing designers of software for embedded systems. Many traditional compiler optimizations are designed to reduce the execution time of compiled cod...
Keith D. Cooper, Philip J. Schielke, Devika Subram...
GECCO
2007
Springer
268views Optimization» more  GECCO 2007»
15 years 5 months ago
Synthesis of analog filters on an evolvable hardware platform using a genetic algorithm
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
MICRO
1990
IEEE
147views Hardware» more  MICRO 1990»
15 years 3 months ago
Motivation and framework for using genetic algorithms for microcode compaction
Genetic algorithms are a robust adaptive optimization technique based on a biological paradigm. They perform efficient search on poorly-defined spaces by maintaining an ordered po...
Steven J. Beaty, Darrell Whitley, Gearold Johnson
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
15 years 24 days ago
Multiple sequence alignment using a GLOCSA guided genetic algorithm
This paper introduces GLOCSA as a new scoring function to rate multiple sequence alignments. It is intended to be simple, considering the whole alignment at once and reflecting t...
Edgar David Arenas-Díaz, Helga Ochoterena-B...