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A Genetic Engineering Approach to Genetic Algorithms
Evolutionary Computation, 2001We present an extension to the standard genetic algorithm (GA), which is based on concepts of genetic engineering. The motivation is to discover useful and harmful genetic materials and then execute an evolutionary process in such a way that the population becomes increasingly composed of useful genetic material and increasingly free of the harmful ...
John S. Gero, Vladimir S. Kazakov
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A Multiobjective Genetic Algorithm to Find Communities in Complex Networks
IEEE Transactions on Evolutionary Computation, 2012A multiobjective genetic algorithm to uncover community structure in complex network is proposed. The algorithm optimizes two objective functions able to identify densely connected groups of nodes having sparse inter-connections.
C. Pizzuti
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2014
Genetic algorithms are among the most popular evolutionary algorithms in terms of the diversity of their applications. A vast majority of well-known optimization problems have been solved using genetic algorithms. In addition, genetic algorithms are population-based, and many modern evolutionary algorithms are directly based on genetic algorithms or ...
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Genetic algorithms are among the most popular evolutionary algorithms in terms of the diversity of their applications. A vast majority of well-known optimization problems have been solved using genetic algorithms. In addition, genetic algorithms are population-based, and many modern evolutionary algorithms are directly based on genetic algorithms or ...
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Nature's algorithms [genetic algorithms]
IEEE Potentials, 2001Combinatorial optimization problems typically require every possible solution to be evaluated to ensure finding the optimal solution. Since such exhaustive searches are often impractical, there is now a vast body of heuristic algorithms for them. Among the algorithms are those based on metaphors borrowed from other areas of science.
J. Carnahan, R. Sinha
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An alternative Genetic Algorithm
2006This paper presents a new Genetic Algorithm (GA), called Alternative Genetic Algorithm (AGA) which has been defined to facilitate theoretical investigations. We have shown that both AGA and the usual GA (UGA) obey similar difference equations. However, theoretical investigations on the AGA are much simpler than on the UGA. For the AGA, we can derive as
Hesser, Jürgen, Männer, Reinhard
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Genetic algorithms: theory, genetic operators, solutions, and applications
Evolutionary Intelligence, 2023Bushra Alhijawi, A. Awajan
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A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II
Parallel Problem Solving from Nature, 2000K. Deb +3 more
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Genetic testing in prostate cancer management: Considerations informing primary care
Ca-A Cancer Journal for Clinicians, 2022Veda N Giri +2 more
exaly
Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis
Evolutionary Intelligence, 2019G. T. Reddy +6 more
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