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» New topologies for genetic search space
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CEC
2008
IEEE
15 years 4 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...
63
Voted
ICEC
1994
68views more  ICEC 1994»
14 years 10 months ago
Extended Forking Genetic Algorithm for Order Representation (O-FGA)
There are two types of GAs with difference of their representation of strings. They are the binary coded GA and the order-based GA. We've already proposed a new type of binar...
Shigeyoshi Tsutsui, Yoshiji Fujimoto, Isao Hayashi
GECCO
2004
Springer
132views Optimization» more  GECCO 2004»
15 years 2 months ago
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model
This paper proposes a new niching method named hierarchical niching, which combines spatial niching in search space and a continuous temporal niching concept. The method is natural...
Jianjun Hu, Erik D. Goodman
GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 2 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
70
Voted
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 3 months ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...