Parallel Problem Solving from Nature - PPSN V : 5th International Conference, Amsterdam, The Netherlands, September 27-30, 1998, Proceedings / edited by Agoston E. Eiben, Thomas Bäck, Marc Schoenauer, Hans-Paul Schwefel.

Format:

Book

Contributor:

Eiben, Agoston E., editor.

Bäck, Thomas, 1963- editor.

Schoenauer, Marc, editor.

Schwefel, Hans-Paul, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 1498.

Lecture Notes in Computer Science, 0302-9743 ; 1498

Language:

English

Subjects (All):

Computers.

Computer architecture.

Algorithms.

Microprocessors.

Computer programming.

Theory of Computation.

Computer System Implementation.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Processor Architectures.

Programming Techniques.

Local Subjects:

Theory of Computation.

Computer System Implementation.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Processor Architectures.

Programming Techniques.

Physical Description:

1 online resource (XLVI, 1585 pages).

Edition:

First edition 1998.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1998.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the 5th International Conference on Parallel Problem Solving from Nature, PPSN V, held in Amsterdam, The Netherlands, in September 1998. The 101 papers included in their revised form were carefully reviewed and selected from a total of 185 submissions. The book is divided into topical sections on convergence theory; fitness landscape and problem difficulty; noisy and non-stationary objective functions; multi-criteria and constrained optimization; representative issues; selection, operators, and evolution schemes; coevolution and learning; cellular automata, fuzzy systems, and neural networks; ant colonies, immune systems, and other paradigms; TSP, graphs, and satisfiability; scheduling, partitioning, and packing; design and telecommunications; and model estimations and layout problems.

Contents:

Modelling genetic algorithms: From Markov chains to dependence with complete connections

On the optimization of unimodal functions with the (1+1) evolutionary algorithm

A timing analysis of convergence to fitness sharing equilibrium

Where elitists start limping evolution strategies at ridge functions

A bit-wise epistasis measure for binary search spaces

Inside GA dynamics: Ground basis for comparison

The effect of spin-flip symmetry on the performance of the simple GA

Fitness distance correlation and Ridge functions

Accelerating the convergence of evolutionary algorithms by fitness landscape approximation

Modeling building-block interdependency

Mutate large, but inherit small! On the analysis of rescaled mutations in ( )-ES with noisy fitness data

Creating robust solutions by means of evolutionary algorithms

Analytic curve detection from a noisy binary edge map using genetic algorithm

A comparison of dominance mechanisms and simple mutation on non-stationary problems

Adaptation to a changing environment by means of the feedback thermodynamical genetic algorithm

Optimization with noisy function evaluations

On risky methods for local selection under noise

Polygenic inheritance - A haploid scheme that can outperform diploidy

Averaging efficiently in the presence of noise

Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function

Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms

Landscape changes and the performance of Mapping Based Constraint handling methods

A decoder-based evolutionary algorithm for constrained parameter optimization problems

A spatial predator-prey approach to multi-objective optimization: A preliminary study

Selective breeding in a multiobjective genetic algorithm

Niching and elitist models for MOGAs

Parallel evolutionary optimisation with constraint propagation

Methods to evolve legal phenotypes

Multiobjective optimization using evolutionary algorithms - A comparative case study

Utilizing dynastically optimal forma recombination in hybrid genetic algorithms

Further experimentations on the scalability of the GEMGA

Indexed memory as a generic protocol for handling vectors of data in genetic programming

On genetic algorithms and lindenmayer systems

Genome length as an evolutionary self-adaptation

Restart scheduling for genetic algorithms

A comparative study of global and local selection in evolution strategies

UEGO, an abstract niching technique for global optimization

Development of problem-specific evolutionary algorithms

The effects of control parameters and restarts on search stagnation in evolutionary programming

Accelerating the evolutionary-gradient-search procedure: Individual step sizes

Extending population-based incremental learning to continuous search spaces

Multi-parent recombination in genetic algorithms with search space boundary extension by mirroring

Selective crossover in genetic algorithms: An empirical study

Line-breeding schemes for combinatorial optimization

Finding regions of uncertainty in learned models: An application to face detection

On ZCS in multi-agent environments

Empirical analysis of the factors that affect the Baldwin effect

Promoting generalisation of learned behaviours in genetic programming

Generalization in Wilson's classifier system

Symbiotic coevolution of artificial neural networks and training data sets

Information-theoretic analysis of a mobile agent's learning in a discrete state space

The coevolution of antibodies for concept learning

Does data-model co-evolution improve generalization performance of evolving learners?

A corporate classifier system

Applying diffusion to a cooperative coevolutionary model

Studying parallel evolutionary algorithms: The cellular programming case

Learning to avoid moving obstacles optimally for mobile robots using a genetic-fuzzy approach

Evolutionary neural networks for nonlinear dynamics modeling

Hybrid distributed real-coded genetic algorithms

Mechanisms of emergent computation in cellular automata

Towards designing neural network ensembles by evolution

Selection of training data for neural networks by a genetic algorithm

Discovery with genetic algorithm scheduling strategies for cellular automata

Simple + parallel + local = cellular computing

Evolution, learning and speech recognition in changing acoustic environments

Ant colonies for adaptive routing in packet-switched communications networks

The stud GA: A mini revolution?

An island model based ant system with lookahead for the shortest supersequence problem

Parameter-free Genetic Algorithm inspired by "disparity theory of evolution"

Immune network dynamics for inductive problem solving

Parallelization strategies for Ant Colony Optimization

Self-organising pattern formation: Fruit flies and cell phones

A new genetic local search algorithm for graph coloring

Improving the performance of evolutionary algorithms for the satisfiability problem by refining functions

Memetic algorithms and the fitness landscape of the graph bi-partitioning problem

Investigating evolutionary approaches to adaptive database management against various quality of service metrics

Genetic algorithm behavior in the MAXSAT domain

An adaptive mutation scheme for a penalty-based graph-colouring GA

Inver-over operator for the TSP

Repair and brood selection in the traveling salesman problem

The Traveling Salesrep Problem, Edge Assembly Crossover, and 2-opt

Load balancing in parallel circuit testing with annealing-based and genetic algorithms

A heuristic combination method for solving job-shop scheduling problems

Reduction of air traffic congestion by genetic algorithms

Timetabling the classes of an entire university with an evolutionary algorithm

Genetic algorithms for the Multiple Container Packing Problem

Buffer memory optimization in DSP applications: An evolutionary approach

The Breeder Genetic Algorithm for frequency assignment

A permutation based Genetic Algorithm for minimum span frequency assignment

Comparison of Evolutionary Algorithms for design optimization

Aspects of digital evolution: Evolvability and architecture

Integrated facility design using an evolutionary approach with a subordinate network algorithm

An evolutionary algorithm for synthesizing optical thin-film designs

Implementing genetic algorithms with sterical constraints for protein structure prediction

Optimal placements of flexible objects: An adaptive simulated annealing approach

Encapsulated Evolution strategies for the determination of group contribution model parameters in order to predict thermodynamic properties

Recombination operators for evolutionary graph drawing

Optimisation of density estimation models with evolutionary algorithms

Genetic algorithm in parameter estimation of nonlinear dynamic systems

Optimizing web page layout using an annealed genetic algorithm as client-side script

Solving the capacitor placement problem in a radial distribution system using an adaptive genetic algorithm.

Other Format:

Printed edition:

ISBN:

978-3-540-49672-4

9783540496724

Access Restriction:

Restricted for use by site license.