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ecr 2.0: a modular framework for evolutionary computation in R
Annual Conference on Genetic and Evolutionary Computation, 2017The novel R package ecr (version 2), short for Evolutionary Computation in R, provides a comprehensive collection of building blocks for constructing powerful evolutionary algorithms for single- and multi-objective continuous and combinatorial ...
Jakob Bossek
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Evolutionary computation for multicomponent problems: opportunities and future directions
Optimization in Industry, 2016Over the past 30 years many researchers in the field of evolutionary computation have put a lot of effort to introduce various approaches for solving hard problems.
M. Bonyadi +3 more
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Evolutionary Computation for Evolutionary Theory
2003Evolutionary computation has developed primarily as an engineering tool for finding solutions to difficult problems. In the shadow of this success, a revolution has been building in evolutionary theory. Evolutionary models, often quite similar to genetic algorithms, are being used to extend our theoretical understanding of biology.
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Metaheuristic and Evolutionary Computation: Algorithms and Applications
Studies in Computational Intelligence, 2021semanticscholar +1 more source
Medical Applications of Evolutionary Computation
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, 2014The application of genetic and evolutionary computation to problems in medicine has increased rapidly over the past five years, but there are specific issues and challenges that distinguish it from other real-world applications. Obtaining reliable and coherent patient data, establishing the clinical need and demonstrating value in the results obtained ...
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Theory of Evolutionary Computation: Recent Developments in Discrete Optimization
Theory of Evolutionary Computation, 2020Thomas Bäck +3 more
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Introduction to Evolutionary Computing
Evolutionary Computation, 2004This book was written by its two authors with the explicit intention that it would become one of the standard text books on evolutionary computation, to rival ”the greats”, namely those of Goldberg (1989), Davis (1991), Michalewicz (1992-1996), Koza (1992), Back (1995), and Mitchell (1996) .
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A survey of evolutionary computation for association rule mining
Information Sciences, 2020A. Telikani +2 more
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Experimentation in Evolutionary Computation
2015In which we reflect on the current status of experimentation in evolutionary computation (Sect. 2.1) and beyond (Sect. 2.2). We then argue in favor of a methodology in Sect. 2.3, highlighting the need for a structured approach with well-defined aims, parameter settings, designs, and measures. Finally, Sect.
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