Evolutionary Programming VII : 7th International Conference, EP98, San Diego, California, USA, March 25-27, 1998 Proceedings / edited by V.W. Porto, N. Saravanan, D. Waagen, A.E. Eiben.

Format:

Book

Contributor:

Porto, V. W. (V. William), editor.

Saravanan, N., editor.

Waagen, D., editor.

Eiben, Agoston E., editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science 0302-9743 ; 1447.

Lecture Notes in Computer Science, 0302-9743 ; 1447

Language:

English

Subjects (All):

Computers.

Algorithms.

Computer programming.

Microprocessors.

Artificial intelligence.

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Programming Techniques.

Processor Architectures.

Artificial Intelligence.

Local Subjects:

Computation by Abstract Devices.

Algorithm Analysis and Problem Complexity.

Programming Techniques.

Processor Architectures.

Artificial Intelligence.

Physical Description:

1 online resource (XVI, 840 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 thoroughly refereed post-conference proceedings of the 7th International Conference on Evolutionary Programming, EP98, held in San Diego, CA, USA, in March 1998. The volume presents 81 revised full papers selected from an overwhelming number of submissions. The papers are organized in topical sections on economics, emergence and complex systems; issues and innovations in evolutionary computation; applications; evolution-based approaches to engineering design; examining representations and operators; evolutionary computation theory; evolutionary computation and biological modeling; particle swarm; and combinations of evolutionary and neural computation.

Contents:

The cumulative consensus of cognitive agents in scenarios: A framework for evolutionary processes in semantic memory

Preferential partner selection in evolutionary labor markets: A study in agent-based computational economics

Subspace pursuit for exploratory modeling

Complete classes of strategies for the Classical Iterated Prisoner's Dilemma

Evolutionary computing in multi-agent environments: Operators

Evaluation of a simple host-parasite genetic algorithm

Testing three paradigms for evolving groups of cooperative, simple agents

Acquisition of general adaptive features by evolution

Hybrid interior-lagrangian penalty based evolutionary optimization

GA-Optimal fitness functions

Scaling up evolutionary programming algorithms

Short notes on the schema theorem and the building block hypothesis in genetic algorithms

A superior evolutionary algorithm for 3-SAT

Evolvable hardware control for dynamic reconfigurable and adaptive computing

Evolutionary programming strategies with self-adaptation applied to the design of rotorcraft using parallel processing

Optimization of thinned phased arrays using evolutionary programming

Evolutionary domain covering of an inference system for function approximation

Learning to re-engineer semantic networks using cultural algorithms

Integration of slicing methods into a Cultural Algorithm in order to assist in large-scale engineering systems design

Genetic search for object identification

Fuzzy cultural algorithms with evolutionary programming

Culturing evolution strategies to support the exploration of novel environments by an intelligent robotic agent

Skeuomorphs and cultural algorithms

Sphere operators and their applicability for constrained parameter optimization problems

Numeric mutation as an improvement to symbolic regression in genetic programming

Variable-dimensional optimization with evolutionary algorithms using fixed-length representations

On making problems evolutionarily friendly part 1: Evolving the most convenient representations

On making problems evolutionarily friendly part 2: Evolving the most convenient coordinate systems within which to pose (and solve) the given problem

An experimental investigation of self-adaptation in evolutionary programming

On the application of evolutionary pattern search algorithms

The schema theorem and the misallocation of trials in the presence of stochastic effects

On the "Explorative power" of ES/EP-like algorithms

Resampling and its avoidance in genetic algorithms

Evolutionary search for minimal elements in partially ordered finite sets

Tailoring mutation to landscape properties

A genetic programming methodology for missile countermeasures optimization under uncertainty

Evolutionary algorithms for vertex cover

An evolutionary self-learning methodology: Some preliminary results from a case study

Evolving IIR filters in multipath environments

Fuzzy partition and input selection by genetic algorithms for designing fuzzy rule-based classification systems

Evolving nonlinear controllers for backing up a truck-and-trailer using evolutionary programming

Reconstruction of DNA sequence information from a simulated DNA chip using evolutionary programming

Using programmatic motifs and genetic programming to classify protein sequences as to cellular location

Fully automated and rapid flexible docking of inhibitors covalently bound to serine proteases

Microtubule networks as a medium for adaptive information processing

Evolve IV: A metabolically-based artificial ecosystem model

Sex, mate selection, and evolution

Finding low energy conformations of atomic clusters using evolution strategies

Estimating the distribution of neural connections in the saccadic system using a biologically plausible learning rule - Preliminary results

Evolutionary algorithms combined with deterministic search

Steady state memetic algorithm for partial shape matching

A fully characterized test suite for genetic programming

Genetic algorithms for belief network inference: The role of scaling and niching

Building software frameworks for evolutionary computation

Recorded step directional mutation for faster convergence

The behavior of particles

Parameter selection in particle swarm optimization

Evolutionary optimization versus particle swarm optimization: Philosophy and performance differences

Comparison between genetic algorithms and particle swarm optimization

A hybrid evolutionary learning system for synthesizing neural network pattern recognition systems

An evolutionary algorithm for designing feedforward neural networks

Dual network representation applied to the evolution of neural controllers

What does the landscape of a Hopfield associative memory look like?

Visualization of evolutionary adaptation in R n

On the application of cohort-driven operators to continuous optimization problems using evolutionary computation

Random search versus genetic programming as engines for collective adaptation

Optimal mutation and crossover rates for a genetic algorithm operating in a dynamic environment

Local selection

Asymmetric mutations for stochastic search

Automated rule extraction for engine health monitoring

Genetic programming for automatic target classification and recognition in synthetic aperture radar imagery

Evolving heuristics for planning

Solving cutting stock problems by evolutionary programming

An empirical investigation of an evolutionary algorithm's ability to maintain a known good solution

Evolving integrated low-level behaviors into intelligently interactive simulated forces

Using offset invariant crossover as a tool for discovering cycle lengths of a periodic function

Evolving a generalised behaviour: Artificial ant problem revisited

Co-evolving functions in genetic programming: Dynamic ADF creation using GliB

Evolving spatially-localized projection filters for SAR automatic target recognition

Genetic programming in the overlapping generations model: An illustration with the dynamics of the inflation rate.

Other Format:

Printed edition:

ISBN:

978-3-540-68515-9

9783540685159

Access Restriction:

Restricted for use by site license.