Results 191 to 200 of about 164,607 (233)
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Quasirandom evolutionary algorithms
Proceedings of the 12th annual conference on Genetic and evolutionary computation, 2010Motivated by recent successful applications of the concept of quasirandomness, we investigate to what extent such ideas can be used in evolutionary computation. To this aim, we propose different variations of the classical (1+1) evolutionary algorithm, all imitating the property that the (1+1) EA over intervals of time touches all bits roughly the same
Doerr, B., Fouz, M., Witt, C.
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Evolving evolutionary algorithms using evolutionary algorithms
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, 2007A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every GA chromosome encodes an EA, which is used for solving a particular problem.
Laura Silvia Diosan, Mihai Oltean
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2007
Evolutionary computation is an old field of computer science that started in the end of the 1960s nearly simultaneously in different parts of the world. Each paradigm has evolved separately, apparently without knowledge of what was happening elsewhere, until people finally got together and shared their experience.
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Evolutionary computation is an old field of computer science that started in the end of the 1960s nearly simultaneously in different parts of the world. Each paradigm has evolved separately, apparently without knowledge of what was happening elsewhere, until people finally got together and shared their experience.
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ACM SIGBIO Newsletter, 1992
Genetic Algorithms and Evolution Strategies, the main representatives of a class of algorithms based on the model of natural evolution, are discussed w.r.t. their basic working mechanisms, differences, and application possibilities. The mechanism of self-adaptation of strategy parameters within Evolution Strategies is emphasized and turns out to be the
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Genetic Algorithms and Evolution Strategies, the main representatives of a class of algorithms based on the model of natural evolution, are discussed w.r.t. their basic working mechanisms, differences, and application possibilities. The mechanism of self-adaptation of strategy parameters within Evolution Strategies is emphasized and turns out to be the
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly
The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Mohammad Abualigah +2 more
exaly