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BIBE
2007
IEEE
124views Bioinformatics» more  BIBE 2007»
15 years 5 months ago
Finding Cancer-Related Gene Combinations Using a Molecular Evolutionary Algorithm
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
Chan-Hoon Park, Soo-Jin Kim, Sun Kim, Dong-Yeon Ch...
CEC
2005
IEEE
15 years 4 months ago
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary alg
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
70
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PPSN
2004
Springer
15 years 4 months ago
Searching Transcriptional Modules Using Evolutionary Algorithms
The mechanism of gene regulation has been studied intensely for decades. It is important to identify synergistic transcriptional motifs. Its search space is so large that an effici...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
ACIIDS
2012
IEEE
307views Database» more  ACIIDS 2012»
13 years 6 months ago
A Hybrid Evolutionary Imperialist Competitive Algorithm (HEICA)
This paper proposes a new approach by combining the Evolutionary Algorithm and Imperialist Competitive Algorithm. This approach tries to capture several people involved in communit...
Fatemeh Ramezani, Shahriar Lotfi, M. A. Soltani-Sa...
EC
2012
289views ECommerce» more  EC 2012»
13 years 6 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