Evolutionary Algorithms (The IMA Volumes in Mathematics and its Applications)Kenneth De Jong, L. Darrell Whitley, Lawrence David Davis, Michael D. Vose | Springer | 3999-16-16 | 393 pages | English | PDFThe IMA Workshop on Evolutionary Algorithms brought together many of the top researchers in the area of Evolutionary Computation for a week of intensive interaction. The field of Evolutionary Computation has developed significantly over the past 31 years and today consists of a variety of subfields such as genetic algorithms, evolution strategies, evolutionary programming, and genetic programming, each with its own algorithmic perspectives and goals. The workshop did a great deal to clarify the current state of the theory of Evolutionary Algorithms. The existing theory might be characterized as deriving from two principal approaches. There is a high level macro-theory that looks at the processing of "building blocks" and "schemata" that are shared by many good solutions when searching a problem space. There is also a low level micro-theory that builds exact Markov models of the search
Source: q0r1acs's Space
Introduction to Evolutionary Computing (Natural Computing Series)
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You may not understand this, but I will give it a shot:
Oil is priced in dollars. This means that if you have Euros and want to pay for oil, you first convert the Euros to US Dollars, then pay for the oil by the barrel.
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