|
" Knowledge Incorporation in Evolutionary Computation "
edited by Yaochu Jin.
Document Type
|
:
|
BL
|
Record Number
|
:
|
577763
|
Doc. No
|
:
|
b406982
|
Main Entry
|
:
|
Jin, Yaochu.
|
Title & Author
|
:
|
Knowledge Incorporation in Evolutionary Computation\ edited by Yaochu Jin.
|
Publication Statement
|
:
|
Berlin, Heidelberg :: Springer Berlin Heidelberg :: Imprint: Springer,, 2005.
|
Series Statement
|
:
|
Studies in Fuzziness and Soft Computing,; 167
|
ISBN
|
:
|
9783540445111
|
|
:
|
: 9783642061745
|
Contents
|
:
|
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 Lifetime 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.
|
Abstract
|
:
|
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.
|
Subject
|
:
|
Engineering.
|
Subject
|
:
|
Artificial intelligence.
|
Subject
|
:
|
Mathematics.
|
Subject
|
:
|
Engineering mathematics.
|
Added Entry
|
:
|
SpringerLink (Online service)
|
| |