Evolutionary Computation

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.",