TY  - BOOK
AU  - 
ED  - SpringerLink (Online service)
TI  - Knowledge Incorporation in Evolutionary Computation
T2  - Studies in Fuzziness and Soft Computing,
SN  - 9783540445111
AV  - TA329-348 
U1  - 519 23
PY  - 2005///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Mathematics
KW  - Engineering mathematics
KW  - Appl.Mathematics/Computational Methods of Engineering
KW  - Artificial Intelligence (incl. Robotics)
KW  - Applications of Mathematics
N1  - I 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 MultiObjective Optimization -- An Interactive Fuzzy Satisficing Method for Multi-objective Integer Programming Problems through Genetic Algorithms -- Interactive Preference Incorporation in Evolutionary Engineering Design; ZDB-2-ENG
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-540-44511-1
ER  -