Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCIS.2006.252329
Title: Issues of binary representation in evolutionary algorithms
Authors: Chiam, S.C.
Goh, C.K.
Tan, K.C. 
Keywords: Binary representation
Preservation
Issue Date: 2006
Source: Chiam, S.C.,Goh, C.K.,Tan, K.C. (2006). Issues of binary representation in evolutionary algorithms. 2006 IEEE Conference on Cybernetics and Intelligent Systems : -. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCIS.2006.252329
Abstract: Recent studies show that evolutionary algorithms are effective optimization tools for their success in solving real-world problem with complex and competing specifications. Although their performances are greatly influenced by the type of representation adopted, this choice often arises from intuition and guesswork due to the absence of proper guidelines and framework. This paper considers binary representation and presents a comprehensive study on its issues, identifying the key factors that affect its algorithmic performance. Furthermore, two metrics are proposed to generalize the concept of preservation which quantifies the similarities between the genotype and phenotype search space. The two classical translation codes Le. binary and gray will be studied based on the identified factors and a preservation analysis revealed the differences between them. © 2006 IEEE.
Source Title: 2006 IEEE Conference on Cybernetics and Intelligent Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/70705
ISBN: 1424400236
DOI: 10.1109/ICCIS.2006.252329
Appears in Collections:Staff Publications

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