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...itle=Comparison of Undirected Phylogenetic Trees Based on Subtrees of Four Evolutionary Units|journal=Systematic Zoology|date=1985|volume=34|issue=2|pages=193–200| The most straightforward computation of the quartet distance would require <math>O(N^4)</math> time, where <math ...

'''Reward-based selection''' is a technique used in [[evolutionary algorithm]]s for selecting potentially useful solutions for recombination. |book-title = Evolutionary Multi-Criterion Optimization 2011 (EMO 2011) ...

...t1 = Felsenstein | first1 = J.| author-link1 = Joseph Felsenstein| title = Evolutionary trees from DNA sequences: A maximum likelihood approach | doi = 10.1007/BF0 ...n also be used to provide error estimates for the parameters describing an evolutionary tree. ...

{{Evolutionary algorithms}} * [[Evolutionary computation]] ...

In [[evolutionary computation]], '''Minimum Population Search''' ('''MPS''') is a computational method th |book-title=Congress on Evolutionary Computation (CEC'2013) ...

|book-title= IEEE Congress on Evolutionary Computation }}</ref> Like most of the methods in the area of [[evolutionary computation]], ICA does not need the gradient of the function in its optimization proce ...

...=Automation of Linear and Nonlinear Control Systems Design by Evolutionary Computation |year=1995 |journal=IFAC Proceedings Volumes |pages=85–90 | last1 = Li | fi ...ng heuristic [[search algorithm|search techniques]] such as [[evolutionary computation]],<ref>{{cite journal |last1=Gregory S. Hornby |title=Generative Representa ...

| book-title = Genetic and Evolutionary Computation Conference (GECCO) ...e coordinate descent was shown to be competitive to the state-of-the-art [[evolutionary algorithms]] and has the following invariance properties: ...

{{Evolutionary algorithms}} In [[evolutionary computing]] such as [[genetic algorithms]] and [[genetic programming]], ''' ...

.../><ref name=salge2013 /> As is the case with Bayesian methods in general, computation of empowerment becomes computationally expensive as the number of actions a ...mpowerment: A universal agent- centric measure of control. In Evolutionary Computation, 2005. The 2005 IEEE Congress on, volume 1, pages 128–135. IEEE.</ref> ...

...e=Exhaustive Symbolic Regression|journal=IEEE Transactions on Evolutionary Computation |year=2023 |volume=28 |issue=4 |page=1 |doi=10.1109/TEVC.2023.3280250 |arxi ...s characteristic of symbolic regression also has advantages: because the [[evolutionary algorithm]] requires diversity in order to effectively explore the search s ...

...tle=Evolutionary algorithms in theory and practice : evolution strategies, evolutionary programming, genetic algorithms|year=1995|publisher=Oxford University Press ...change/35824-multi-objective-optimization-using-evolution-strategies-es-as-evolutionary-algorithm-ea|publisher=Mathworks|access-date=1 November 2012}}</ref> which ...

{{Evolutionary algorithms}} The '''Fly Algorithm''' is a computational method within the field of [[evolutionary algorithms]], designed for direct exploration of [[three-dimensional space| ...

...cause of [[genetic isolation]] between populations. [[Evolutionary biology|Evolutionary biologists]] and [[population genetics|population geneticists]] have been e ...right, can create genetic differentiation among subpopulations, leading to evolutionary change. Individuals within the subpopulation are neighbors in the sense tha ...

...or, and D. Horn. "Optimal ensemble averaging of neural networks." Network: Computation in Neural Systems 8, no. 3 (1997): 283&ndash;296.</ref> ...k, and R. Doursat. "Neural networks and the bias/variance dilemma." Neural computation 4, no. 1 (1992): 1&ndash;58.</ref> The idea of combining experts can be tra ...

...nion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation |chapter=Metaheuristics in nature-inspired algorithms |year=2014|pages=1419 ...

...cussed.<ref>{{cite web |url=http://bilevel.org/applications/ |title=Scope: Evolutionary Bilevel Optimization |last1= |first1= |last2= |first2= |date= |website=www. ...ary Approaches and Applications |journal=IEEE Transactions on Evolutionary Computation |date=April 2018 |volume=22 |issue=2 |pages=276–295 |doi=10.1109/TEVC.2017. ...

...ign problems by social cognitive optimization]. ''Genetic and Evolutionary Computation Conference'' (GECCO), Seattle, WA, USA: 261-262.</ref> ...

Depending on the used performance metric <math> m </math>, feature computation can be associated with costs. It is important to take the overhead of feature computation into account in practice in such scenarios; otherwise a misleading impressi ...

...ch that compose these three branches are [[artificial neural networks]], [[evolutionary algorithms]], [[swarm intelligence]], [[artificial immune systems]], fracta ...s+Computation A Computable Universe: Understanding and Exploring Nature as Computation]. World Scientific Publishing Company, 2012</ref> exploring nature with hel ...