Evolutionary Computation
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InCollection{Altenberg:2016:EC,
-
author = "Lee Altenberg",
-
year = "2016",
-
title = "Evolutionary Computation",
-
booktitle = "The Encyclopedia of Evolutionary Biology",
-
editor = "Richard M. Kliman",
-
publisher = "Academic Press",
-
volume = "2",
-
pages = "40--47",
-
address = "Oxford, UK",
-
keywords = "genetic algorithms, genetic programming, Crossover,
Encoding, Evolutionary algorithm, Evolvability, Genetic
algorithm, Genetic operator, No free lunch theorems,
Objective function, Optimization, Representation,
Search space, Selection operator, Simulated annealing",
-
isbn13 = "978-0-12-800426-5",
-
URL = "https://www.sciencedirect.com/science/article/pii/B9780128000496003073",
-
DOI = "doi:10.1016/B978-0-12-800049-6.00307-3",
-
abstract = "Evolutionary computation is a method of solving
engineering problems using algorithms that mimic
Darwinian natural selection and Mendelian genetics,
applied especially to optimization problems that are
difficult to solve from first principles. Earliest
beginnings were in the 1950s, and by the mid-1990s it
had developed as an academic field with its own
journals, conferences, and faculty. Several phenomena
discovered in evolutionary biology were also discovered
in parallel in evolutionary computation, including the
evolvability problem, genetic modification,
constructive neutral evolution, and genetic robustness.
The related field of artificial life focuses on
computational systems in which replication, natural
selection, and ecological interactions are all
emergent.",
- }
Genetic Programming entries for
Lee Altenberg
Citations