000 03227nam a22005295i 4500
001 978-3-642-41888-4
003 DE-He213
005 20200421112552.0
007 cr nn 008mamaa
008 131113s2014 gw | s |||| 0|eng d
020 _a9783642418884
_9978-3-642-41888-4
024 7 _a10.1007/978-3-642-41888-4
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
082 0 4 _a006.3
_223
245 1 0 _aRecent Advances in the Theory and Application of Fitness Landscapes
_h[electronic resource] /
_cedited by Hendrik Richter, Andries Engelbrecht.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aXXXVIII, 553 p. 201 illus., 75 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v6
505 0 _aPart I Principles and Perspectives -- Part II Topology, Measures and Problem Hardness -- Part III Coevolution and Dynamics -- Part IV Visualization and Characterization -- Part V Outlook and Afterthoughts.
520 _aThis book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attempts to mathematically describe evolutionary processes and evolutionary dynamics.     The book addresses recent advances in the understanding of fitness landscapes in evolutionary biology and evolutionary computation. In the volume, experts in the field of fitness landscapes present these findings in an integrated way to make it accessible to a number of audiences: senior undergraduate and graduate students in computer science, theoretical biology, physics, applied mathematics and engineering, but also researcher looking for a reference or/and entry point into using fitness landscapes for analysing algorithms. Also practitioners wanting to employ fitness landscape techniques for evaluating bio- and nature-inspired computing algorithms can find valuable material in the book. For teaching proposes, the book could also be used as a reference handbook.  .
650 0 _aEngineering.
650 0 _aArtificial intelligence.
650 0 _aSystems biology.
650 0 _aBiomathematics.
650 0 _aComputational intelligence.
650 1 4 _aEngineering.
650 2 4 _aComputational Intelligence.
650 2 4 _aArtificial Intelligence (incl. Robotics).
650 2 4 _aMathematical and Computational Biology.
650 2 4 _aSystems Biology.
700 1 _aRichter, Hendrik.
_eeditor.
700 1 _aEngelbrecht, Andries.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642418877
830 0 _aEmergence, Complexity and Computation,
_x2194-7287 ;
_v6
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-41888-4
912 _aZDB-2-ENG
942 _cEBK
999 _c58917
_d58917