000 04540nam a22004815i 4500
001 978-3-540-44511-1
003 DE-He213
005 20161121231023.0
007 cr nn 008mamaa
008 130423s2005 gw | s |||| 0|eng d
020 _a9783540445111
_9978-3-540-44511-1
024 7 _a10.1007/978-3-540-44511-1
_2doi
050 4 _aT57-57.97
072 7 _aPBW
_2bicssc
072 7 _aMAT003000
_2bisacsh
082 0 4 _a519
_223
245 1 0 _aKnowledge Incorporation in Evolutionary Computation
_h[electronic resource] /
_cedited by Yaochu Jin.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXIII, 550 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v167
505 0 _aI Introduction -- A Selected Introduction to Evolutionary Computation -- II Knowledge Incorporation in Initialization, Recombination and Mutation -- The Use of Collective Memory in Genetic Programming -- A Cultural Algorithm for Solving the Job Shop Scheduling Problem -- Case-Initialized Genetic Algorithms for Knowledge Extraction and Incorporation -- Using Cultural Algorithms to Evolve Strategies in A Complex Agent-based System -- Methods for Using Surrogate Models to Speed Up Genetic Algorithm Optimization: Informed Operators and Genetic Engineering -- Fuzzy Knowledge Incorporation in Crossover and Mutation -- III Knowledge Incorporation in Selection and Reproduction -- Learning Probabilistic Models for Enhanced Evolutionary Computation -- Probabilistic Models for Linkage Learning in Forest Management -- Performance-Based Computation of Chromosome Lifetimes in Genetic Algorithms -- Genetic Algorithm and Case-Based Reasoning Applied in Production Scheduling -- Knowledge-Based Evolutionary Search for Inductive Concept Learning -- An Evolutionary Algorithm with Tabu Restriction and Heuristic Reasoning for Multiobjective Optimization -- IV Knowledge Incorporation in Fitness Evaluations -- Neural Networks for Fitness Approximation in Evolutionary Optimization -- Surrogate-Assisted Evolutionary Optimization Frameworks for High-Fidelity Engineering Design Problems -- Model Assisted Evolution Strategies -- V Knowledge Incorporation through Life-time Learning and Human-Computer Interactions -- Knowledge Incorporation Through Lifetime Learning -- Local Search Direction for Multi-Objective Optimization Using Memetic EMO Algorithms -- Fashion Design Using Interactive Genetic Algorithm with Knowledge-based Encoding -- Interactive Evolutionary Design -- VI Preference Incorporation in Multi-objective Evolutionary Computation -- Integrating User Preferences into Evolutionary Multi-Objective Optimization -- Human Preferences and their Applications in Evolutionary Multi—Objective Optimization -- An Interactive Fuzzy Satisficing Method for Multi-objective Integer Programming Problems through Genetic Algorithms -- Interactive Preference Incorporation in Evolutionary Engineering Design.
520 _aThis carefully edited book puts together the state-of-the-art and recent advances in knowledge incorporation in evolutionary computation within a unified framework. The book provides a comprehensive self-contained view of knowledge incorporation in evolutionary computation including a concise introduction to evolutionary algorithms as well as knowledge representation methods. "Knowledge Incorporation in Evolutionary Computation" is a valuable reference for researchers, students and professionals from engineering and computer science, in particular in the areas of artificial intelligence, soft computing, natural computing, and evolutionary computation.
650 0 _aMathematics.
650 0 _aArtificial intelligence.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aMathematics.
650 2 4 _aApplications of Mathematics.
650 2 4 _aAppl.Mathematics/Computational Methods of Engineering.
650 2 4 _aArtificial Intelligence (incl. Robotics).
700 1 _aJin, Yaochu.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642061745
830 0 _aStudies in Fuzziness and Soft Computing,
_x1434-9922 ;
_v167
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-540-44511-1
912 _aZDB-2-ENG
950 _aEngineering (Springer-11647)
999 _c507390
_d507390