Evolutionary Computation 2 : Advanced Algorithms and Operators

By Thomas Bäck, David B. Fogel, Z. Michalewicz. 2000

481 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/8162360f7cbbfc0a0083c6cc0354e15fdf129360

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In Artificial Intelligence

Citations in the corpus

Fundamentals of natural computing: an overview (2007, background): “Evolutionary computing, also called evolutionary computation, is the field of research that draws ideas from evolutionary biology in order to develop search and optimization techniques for solving complex problems [14,15,102,118, 142,194,196].”
Evolutionary algorithms for the optimization of advective control of contaminated aquifer zones (2004, background): “[19] Practical hints for the design of so-called competent (S)GAs that are perfectly adapted to a problem are proposed by several authors [e.g., Goldberg, 1998; Bäck et al., 2000; Reed et al., 2000; van Dijk et al., 2002].”
GA: A Package for Genetic Algorithms in R (2013, methodology): “…which are able to solve optimization problems of the type described in Equation 1, both for continuous (whether di ↵ erentiable or not) and discrete functions (A ↵ enzeller and Winkler 2009; Back, Fogel, and Michalewicz 2000a,b; Coley 1999; Eiben and Smith 2003; Haupt and Haupt 2004; Spall 2003).”
Metaheuristics (2016, methodology): “The principal methods of multiobjective optimization (either using a metaheuristic or not) and some applications, in particular in telecommunications, were presented in the book [6].”
Advances in Computational Intelligence (2003, unknown): “process in computational intelligence [7, 8, 44, 121].”
Global Optimization Algorithms -- Theory and Application (2009, unknown): “Bäck [274]: Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms Bäck, Fogel, and Michalewicz [275]: Handbook of Evolutionary Computation Fogel [442]: Evolutionary Computation: The Fossil Record Deb [12]: Multi-Objective Optimization Usin”
Evolutionary computation and structural design: A survey of the state-of-the-art (2005, background): “Repair algorithms are particularly well-suited for combinatorial optimization problems [122].”