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CEC
2008
IEEE
14 years 3 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...
EC
2012
289views ECommerce» more  EC 2012»
12 years 4 months ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
ICDAR
2003
IEEE
14 years 2 months ago
An Evolutionary Algorithm for General Symbol Segmentation
A new system is presented for general symbol segmentation, which is applicable for segmentation of any connected string of symbols, including characters and line diagrams. Using a...
Stephen Pearce, Maher Ahmed
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 2 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
EOR
2007
77views more  EOR 2007»
13 years 8 months ago
Solving the short-term electrical generation scheduling problem by an adaptive evolutionary approach
In this paper, we introduce an adaptive evolutionary approach to solve the short-term electrical generation scheduling problem (STEGS). The STEGS is a hard constraint satisfaction...
Jorge Maturana, María-Cristina Riff