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Genetic Algorithms

2008
The methods in this chapter were developed in response to the need for general purpose methods for solving complex optimisation problems. A classical problem addressed is the Travelling Salesman Problem in which a salesman must visit each of n cities once and only once in an optimum order - that which minimises his travelling.
Darryl Charles   +3 more
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Putting More Genetics into Genetic Algorithms

Evolutionary Computation, 1998
The majority of current genetic algorithms (GAs), while inspired by natural evolutionary systems, are seldom viewed as biologically plausible models. This is not a criticism of GAs, but rather a reflection of choices made regarding the level of abstraction at which biological mechanisms are modeled, and a reflection of the more engineering-oriented ...
D S, Burke   +4 more
openaire   +2 more sources

Genetic algorithms

Proceedings of the international conference on APL '91, 1991
Genetic algorithms, invented by J. H. Holland, emulate biological evolution in the computer and try to build programs that can adapt by themselves to perform a given function. In some sense, they are analogous to neural networks, but there are important differences between them.
openaire   +1 more source

Clinical management of metastatic colorectal cancer in the era of precision medicine

Ca-A Cancer Journal for Clinicians, 2022
, Davide Ciardiello, Giulia Martini
exaly  

Genetic Algorithms Genetic Algorithms Agenda

2019
Ruaa Al-Falluji, Al-Zoghabi, Adel
openaire   +1 more source

Genetic Algorithms

2013
Feng-Sheng Wang, Li-Hsunan Chen
openaire   +2 more sources

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