Incremental Multiple Objective Genetic Algorithms
نویسندگان
چکیده
منابع مشابه
Genetic Algorithms for multiple objective vehicle routing
The talk describes a general approach of a genetic algorithm for multiple objective optimization problems. A particular dominance relation between the individuals of the population is used to define a fitness operator, enabling the genetic algorithm to address even problems with efficient, but convexdominated alternatives. The algorithm is implemented in a multilingual computer program, solving...
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Many Multiple Objective Genetic Algorithms (MOGAs) have been designed to solve problems with multiple conflicting objectives. Incremental approach can be used to enhance the performance of various MOGAs, which was developed to evolve each objective incrementally. For example, by applying the incremental approach to normal MOGA, the obtained Incremental Multiple Objective Genetic Algorithm (IMOG...
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Genetic linkage refers to the proximity of genes on the genome and their corresponding tendency to travel together during crossover. Successful recombination in the simple GA is dependent on the correspondence between genetic linkage and epistatic linkage (the interdependency of gene expression). That is, interdependent genes must be close to each other on the genome for crossover to be success...
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Incremental training has been used for GA-based classifiers in a dynamic environment where training samples or new attributes/classes become available over time. In this paper, ordered incremental genetic algorithms (OIGAs) are proposed to address the incremental training of input attributes for classifiers. Rather than learning input attributes in batch as with normal GAs, OIGAs learn input at...
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ژورنال
عنوان ژورنال: IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)
سال: 2004
ISSN: 1083-4419
DOI: 10.1109/tsmcb.2003.822958