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129
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CEC
2008
IEEE
15 years 9 months ago
High-level synthesis with multi-objective genetic algorithm: A comparative encoding analysis
— The high-level synthesis process involves three interdependent and NP-complete optimization problems: (i) the operation scheduling, (ii) the resource allocation, and (iii) the ...
Christian Pilato, Daniele Loiacono, Fabrizio Ferra...
110
Voted
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 3 months ago
Combining cartesian genetic programming with an estimation of distribution algorithm
This paper describes initial testing of a novel idea to combine a CGP with an EDA. In recent work a new improved crossover technique was successfully applied to a CGP. To implemen...
Janet Clegg
133
Voted
ICMLA
2007
15 years 4 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
124
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APIN
2002
113views more  APIN 2002»
15 years 2 months ago
Towards Creative Evolutionary Systems with Interactive Genetic Algorithm
Evolutionary computation has shown a great potential to work out several real-world problems in the point of optimization, but it is still quite far from realizing a system of matc...
Sung-Bae Cho
SIGMETRICS
2010
ACM
178views Hardware» more  SIGMETRICS 2010»
15 years 7 months ago
Optimality, fairness, and robustness in speed scaling designs
System design must strike a balance between energy and performance by carefully selecting the speed at which the system will run. In this work, we examine fundamental tradeoffs i...
Lachlan L. H. Andrew, Minghong Lin, Adam Wierman