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1

J, Penn Dustin, and Mysterud Iver, eds. Evolutionary perspectives on environmental problems. New Brunswick, N.J: Aldine Transaction, 2007.

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2

J, Penn Dustin, and Mysterud Iver, eds. Evolutionary perspectives in environmental problems. New Brunswick, N.J: Aldine Transaction, 2005.

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3

Yang, Shengxiang, and Xin Yao, eds. Evolutionary Computation for Dynamic Optimization Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38416-5.

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4

Yang, Shengxiang. Evolutionary Computation for Dynamic Optimization Problems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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5

Coello, Carlos A. Coello. Evolutionary algorithms for solving multi-objective problems. New York: Kluwer Academic, 2002.

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6

Coello Coello, Carlos A., David A. Van Veldhuizen, and Gary B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4757-5184-0.

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Coello, Carlos A. Coello. Evolutionary Algorithms for Solving Multi-Objective Problems. Boston, MA: Springer US, 2002.

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8

A, Vorotnikov Dmitry, ed. Topological approximation methods for evolutionary problems of nonlinear hydrodynamics. Berlin: Walter de Gruyter, 2008.

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9

Evolutionary genetics. Oxford: Oxford University Press, 1989.

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10

Evolutionary genetics. 2nd ed. Oxford: Oxford University Press, 1998.

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11

Cryan, Mary Elizabeth. Learning and approximation algorithms for problems motivated by evolutionary trees. [s.l.]: typescript, 1999.

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12

Garoli, Albert. The evolutionary glitch: Rise above the root of your problems. Ann Arbor, MI: Loving Healing Press, 2010.

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13

Garoli, Albert. The evolutionary glitch: Rise above the root of your problems. Ann Arbor, MI: Loving Healing Press, 2010.

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14

Robertson, Lisa, Fiona Rawle, and Nikki Sarkar. Introduction to evolution and evolutionary genetics: Laboratory manual ; Biology 152. Boston: Pearson Learning, 2014.

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15

M, Broughton Jack, and Cannon Michael D. 1968-, eds. Evolutionary ecology and archaeology: Applications to problems in human evolution and prehistory. Salt Lake City: University of Utah Press, 2009.

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16

Broughton, Jack M. Evolutionary ecology and archaeology: Applications to problems in human evolution and prehistory. Salt Lake City: University of Utah Press, 2010.

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17

M, Broughton Jack, and Cannon Michael D. 1968-, eds. Evolutionary ecology and archaeology: Applications to problems in human evolution and prehistory. Salt Lake City: University of Utah Press, 2009.

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18

Biology 152: Introduction to evolution and evolutionary genetics laboratory manual. 2nd ed. Boston, Mass: Pearson Learning Solutions, 2013.

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19

Sukharev, O. S. Institut︠s︡ionalʹnai︠a︡ i ėvoli︠u︡t︠s︡ionnai︠a︡ ėkonomika: Problemy opisanii︠a︡ khozi︠a︡ĭstvennogo razvitii︠a︡ = Institutional and evolutionary economics : the problems of description of economy development. Moskva: In-t ėkonomiki, 2007.

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20

Stalph, Patrick. Analysis and design of machine learning techniques: Evolutionary solutions for regression, prediction, and control problems. Wiesbaden: Springer Vieweg, 2014.

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21

IUTAM Symposium on Evolutionary Methods in Mechanics (2002 Krakow, Poland). IUTAM Symposium on Evolutionary Methods in Mechanics: Cracow, Poland, 24-27 September 2002. Boston: Kluwer Academic Publishers, 2004.

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22

Andrés-Pérez, Esther, Leo M. González, Jacques Periaux, Nicolas Gauger, Domenico Quagliarella, and Kyriakos Giannakoglou, eds. Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-89890-2.

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23

Chiong, Raymond, and Sandeep Dhakal. Natural intelligence for scheduling, planning and packing problems. Berlin: Springer, 2009.

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24

Leaping, into the future with evolutionary biology (May 1994 Rutgers University New Brunswick). Leaping into the future with evolutionary biology: The emerging relevance of evolutionary biology to applied problems and opportunities : report of a national workshop May 13-15, 1994. New Brunswick: Rutgers University, 1994.

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25

Evolutionary rhetoric: Sex, science, and free love in nineteenth-century feminism. Carbondale: Southern Illinois University Press, 2013.

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26

Romania) BICS 2008 (2008 Tîrgu-Mureș. BICS 2008: Proceedings of the 1st International Conference, Bio-inspired Computational Methods Used for Solving Difficult Problems--Development of Intelligent and Complex Systems : Tirgu Mures, Romania, 5-7 November 2008. Edited by Enachescu Calin, Iantovics Barna L, and Filip F. G. Melville, N.Y: American Institute of Physics, 2009.

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27

Gräfrath, Bernd. Evolutionäre Ethik?: Philosophische Programme, Probleme und Perspektiven der Soziobiologie. Berlin: W. de Gruyter, 1997.

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28

Huxley, Thomas Henry. Evolution and ethics: Science and morals. Amherst, N.Y: Prometheus Books, 2004.

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29

Huxley, Thomas Henry. Tian yan lun. 6th ed. Tai-ei Shi: Shang wu yin shu guan, 1987.

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30

Huxley, Thomas Henry. Evolution and ethics: And other essays. New York: Barnes & Noble, 2006.

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31

Huxley, Thomas Henry. Evolution & ethics: T.H. Huxley's "Evolution and ethics" with new essays on its Victorian and sociobiological context. Princeton, N.J: Princeton University Press, 1989.

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32

Huxley, Thomas Henry. Tian yan lun: Wu jing tian ze, shi zhe sheng cun. Zhengzhou shi: Zhongzhou gu ji chu ban she, 1998.

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33

Abalkin, L. I. Ėvoli︠u︡t︠s︡ionnai︠a︡ ėkonomika: Problemy i protivorechii︠a︡ teorii i praktiki : doklady i vystuplenii︠a︡ mezhdunarodnogo simpoziuma : g. Pushchino, 4-6 ii︠u︡ni︠a︡ 2000 g. Moskva: In-t ėkonomiki RAN, 2001.

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34

Penn, Dustin J., and Iver Mysterud. Evolutionary Perspectives on Environmental Problems. Edited by E. O. Wilson. Routledge, 2017. http://dx.doi.org/10.4324/9780203792650.

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35

(Editor), Dustin Penn, and Iver Mysterud (Editor), eds. Evolutionary Perspectives on Environmental Problems. Aldine Transaction, 2007.

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36

(Editor), Dustin Penn, and Iver Mysterud (Editor), eds. Evolutionary Perspectives on Environmental Problems. Aldine Transaction, 2007.

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37

Yao, Xin, and Shengxiang Yang. Evolutionary Computation for Dynamic Optimization Problems. Springer Berlin / Heidelberg, 2015.

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38

Evolutionary Computation For Dynamic Optimization Problems. Springer-Verlag Berlin and Heidelberg GmbH &, 2013.

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39

Lamont, Gary B., Carlos Coello Coello, and David A. van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). Springer, 2007.

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40

Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic and Evolutionary Computation). Springer, 2007.

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41

Lamont, Gary B., Carlos Coello Coello, and David A. van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems. Springer, 2014.

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42

Evolutionary Algorithms for Solving Multi-Objective Problems. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-36797-2.

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43

Haubold, Bernhard, and Angelika Börsch-Haubold. Bioinformatics for Evolutionary Biologists: A Problems Approach. Springer International Publishing AG, 2022.

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44

Haubold, Bernhard, and Angelika Börsch-Haubold. Bioinformatics for Evolutionary Biologists: A Problems Approach. Springer, 2018.

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45

Haubold, Bernhard, and Angelika Börsch-Haubold. Bioinformatics for Evolutionary Biologists: A Problems Approach. Springer, 2019.

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46

Lamont, Gary B., Carlos A. Coello Coello, and David A. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems (Genetic Algorithms and Evolutionary Computation). Springer, 2002.

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47

Orians, Gordon H., and William K. Purves. Life, Part 4: Evolutionary Processes. 7th ed. W. H. Freeman, 2004.

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48

Rohatyn, D. A. Naturalism and Deontology: An essay on the problems of Ethics. De Gruyter, Inc., 2019.

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49

Jeffares, Ben, and Kim Sterelny. Evolutionary Psychology. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0020.

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The article presents several models of evolutionary psychology. Nativist evolutionary psychology is built around a most important insight that ordinary human decision-making has a high cognitive load. Evolutionary nativists defend a modular solution to the problem of information load on human decision-making. Human minds comprises of special purpose cognitive devices or modules. One of the modules is a language module, a module for interpreting the thoughts and intentions of others, another is a ‘naive physics’ module for causal reasoning about sticks, stones, and similar inanimate objects, a natural history module for ecological decisions, and a social exchange module for monitoring economic interactions with peers. These modules evolved in response to the distinctive, independent, and recurring problems faced by the ancestors. Domain specific modules handle information about human language, human minds, inanimate causal interactions, the biological world, and other constant adaptive demands faced by human ancestors. Nativist evolutionary psychologists have turned to moral decision making, arguing that cross-cultural moral judgments are invariant in an unexpected way. Natural selection can build and equip a special purpose module only if the information an agent needs to know is stable over evolutionary time. Automatized skills are an alternative means of coping with high-load problems. These skills are phenomenologically rather like modules, but they have very different developmental and evolutionary histories.
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50

Evolutionary genetics. John Maynard Smith, 1989.

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