Knowledge incorporation in evolutionary computation

Aufsatzsammlung

This 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. TOC:From the Contents: Part I Introduction.- A Selected Introduction to Evolutionary Computation.- Part 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.- Part III Knowledge Incorporation in Selection and Reproduction.- Learning Probabilistic Models for Enhanced Evolutionary Computation.- Probabilistic Models for Linkage Learning in Forest Management.- Part IV Knowledge Incorporation in Fitness Evaluations.- Neural Networks for Fitness Approximation in Evolutionary Optimization.- Part V Knowledge Incorporation through Life-time Learning and Human-Computer Interactions.- Knowledge Incorporation Through Lifetime Learning.- Part VI Preference Incorporation in Multi-objective Evolutionary Computation.- Integrating User Preferences into Evolutionary Multi- Objective Optimization-

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• ISBN: 9783540229025 ; 3540229027
• Maße: 24 cm
• Umfang: XIII, 548 S.
• Sprache: Englisch
• Anmerkungen: graph. Darst. ; Literaturangaben

Verweise und Beziehungen

• Erschienen in: Studies in fuzziness and soft computing ; Vol. 167

Klassifikation und Themen

• Klassifikation: Informatik
• Schlagwort: Evolutionärer Algorithmus ; Wissensverarbeitung ; Evolutionärer Algorithmus ; Mehrkriterielle Optimierung

Beteiligte, Orts- und Zeitangaben

• Ereignis: Veröffentlichung
• (wo): Berlin, Heidelberg, New York
• (wer): Springer
• (wann): 2005
• Beteiligte Personen und Organisationen: Jin, Yaochu

Weitere Informationen

• Inhaltsverzeichnis: https://d-nb.info/971900507/04
• Rechteinformation: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.
• Letzte Aktualisierung: 11.03.2025, 11:43 MEZ