Parallel problem solving from naturePPSN IV : International Conference on Evolutionary Computation  The 4th International Conference on Parallel Problem Solving from Nature, Berlin, Germany, September 2226, 1996 : proceedings
 Responsibility
 HansMichael Voigt [and others], eds.
 Imprint
 Berlin ; New York : Springer, ©1996.
 Physical description
 1 online resource (xvii, 1050 pages) : illustrations
 Series
 Lecture notes in computer science ; 1141.
Online
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Description
Creators/Contributors
Contents/Summary
 Bibliography
 Includes bibliographical references and index.
 Contents

 Computational brittleness and the evolution of computer viruses
 Evolutionary computing in multiagent environments: Speciation and symbiogenesis
 Evolution strategies with subjective selection
 Emergent cooperation for multiple agents using genetic programming
 Evolution programs evolved
 Encoding scheme issues for openended artificial evolution
 Hardware evolution at function level
 Coevolutionary lifetime learning
 Genetic programs and coevolution
 Selfassemblage of gene nets in evolution via recruiting of new netters
 A survey of intron research in genetics
 Analytical and numerical investigations of evolutionary algorithms in continuous spaces
 On the asymptotic behavior of multirecombinant Evolution Strategies
 Are long path problems hard for genetic algorithms?
 Random tree generation for genetic programming
 Implicit formae in genetic algorithms
 A probabilistic database approach to the analysis of genetic algorithms
 Mean field analysis of tournament selection on a random manifold
 From recombination of genes to the estimation of distributions I. Binary parameters
 From recombination of genes to the estimation of distributions II. Continuous parameters
 Searching in the presence of noise
 The density of states
 A measure of the difficulty of optimisation problems
 On interactive evolutionary algorithms and stochastic mealy automata
 The influence of different coding schemes on the computational complexity of genetic algorithms in function optimization
 An analysis of the effects of neighborhood size and shape on local selection algorithms
 Evolutionary computation at the edge of feasibility
 Dimensional analysis of allelewise mixing revisited
 Gaussian diffusion in a simple genetic algorithm
 Erroneous truncation selection
 A breeder's decision making perspective
 New crossover methods for sequencing problems
 The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets
 On permutation representations for scheduling problems
 Multiparent's niche: Nary crossovers on NKlandscapes
 A preliminary investigation into directed mutations in evolutionary algorithms
 Heuristic crossovers for realcoded genetic algorithms based on fuzzy connectives
 Are evolutionary algorithms improved by large mutations?
 Mutation by imitation in boolean evolution strategies
 Formal algorithms + formal representations =search strategies
 A genetic algorithm with variable range of local search for tracking changing environments
 An Evolution Strategy with adaptation of the step sizes by a variance function
 Every niching method has its niche: Fitness sharing and implicit sharing compared
 Effects of isolation in a distributed population genetic algorithm
 Selfadaptive genetic algorithm for numeric functions
 Niche search: An evolutionary algorithm for global optimisation
 Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm
 Obtaining multiple distinct solutions with genetic algorithm niching methods
 Cost Based Operator Rate Adaptation: An investigation
 Genetic algorithms and relational landscapes
 IOGA: An instanceoriented genetic algorithm
 Explicit filtering of building blocks for genetic algorithms
 Multiobjective optimization by means of the thermodynamical genetic algorithm
 Adaptation to a changing environment by means of the thermodynamical genetic algorithm
 The development of a dualagent strategy for efficient search across whole system engineering design hierarchies
 A parallel cellular genetic algorithm used in finite element simulation
 A robust solution searching scheme in genetic search
 Solving MasterMind using GAs and simulated annealing: A case of dynamic constraint optimization
 Evolving compact solutions in genetic programming: A case study
 Climbing up NPhard hills
 On the performance assessment and comparison of stochastic multiobjective optimizers
 Paginating the generalized newspapers
 A comparison of simulated annealing and a heuristic method
 A comparison of optimization techniques for integrated manufacturing planning and scheduling
 A comparison of search techniques on a wingbox optimisation problem
 A comparative study of evolutionary algorithms for online parameter tracking
 Modeling urban growth by cellular automata
 Democratic optimization for discrete and continuous systems
 A study of some properties of AntQ
 Immunoid: An immunological approach to decentralized behavior arbitration of autonomous mobile robots
 Parallelizable evolutionary dynamics principles for solving the maximum clique problem
 Significance of locality and selection pressure in the grand deluge evolutionary algorithm
 Parallel computing with DNA: Toward the antiuniversal machine
 Tackling the "curse of dimensionality" of radial basis functional neural networks using a genetic algorithm
 A Threestage method for designing Genetic Fuzzy Systems by learning from examples
 Learning heuristics for OBDD minimization by Evolutionary Algorithms
 Improving the generalization performance of multilayerperceptrons with populationbased incremental learning
 Robust GP in robot learning
 A pattern recognition system using evolvable hardware
 Topology design of feedforward neural networks by genetic algorithms
 An evolution strategy for online optimisation of dynamic objective functions
 Exploiting competing subpopulations for automatic generation of test sequences for digital circuits
 Constraint handling in evolutionary search: A case study of the frequency assignment
 An application of genetic algorithms and neural networks to scheduling power generating systems
 Evolutionary algorithms for the calculation of electron distributions in SiMOSFETs
 Refueling of a nuclear power plant: Comparison of a naive and a specialized mutation operator
 Genetic algorithms applied to the physical design of VLSI circuits: A survey
 Stochastic methods for transistor size optimization of CMOS VLSI circuits
 An adaptive parallel Genetic Algorithm for VLSIlayout optimization
 Genetic algorithms for protocol validation
 Constraint handling for the fault coverage code generation problem: An inductive evolutionary approach
 New genetic local search operators for the traveling salesman problem
 An evolutionary approach to hardware/software partitioning
 Evolutionary Air Traffic Flow Management for large 3Dproblems
 Geneticbased dynamic load balancing: Implementation and evaluation
 Production scheduling with genetic algorithms and simulation
 Network optimization using evolutionary strategies
 Coevolving parallel random number generators
 Scheduling by genetic local search with multistep crossover
 Finding the conformation of organic molecules with genetic algorithms
 Investigating a Parallel Breeder Genetic Algorithm on the inverse Aerodynamic design
 An evolutionary design for f? lenses
 Optimization of heat exchanger networks by means of evolution strategies
 Industrial plant piperoute optimisation with genetic algorithms
 An evolutionary algorithm for design optimization of microsystems
 A learning classifier system for threedimensional shape optimization.
 Summary
 This book constitutes the refereed proceedings of the International Conference on Evolutionary Computation held jointly with the 4th Conference on Parallel Problem Solving from Nature, PPSN IV, in Berlin, Germany, in September 1996. The 103 revised papers presented in the volume were carefully selected from more than 160 submissions. The papers are organized in sections on basic concepts of evolutionary computation (EC), theoretical foundations of EC, modifications and extensions of evolutionary algorithms, comparison of methods, other metaphors, and applications of EC in a variety of areas like ML, NNs, engineering, CS, OR, and biology. The book has a comprehensive subject index.
Subjects
Bibliographic information
 Publication date
 1996
 Title variation
 PPSN IV : parallel problem solving from nature
 Series
 Lecture notes in computer science ; 1141
 ISBN
 9783540706687 (electronic bk.)
 3540706682 (electronic bk.)
 354061723X
 9783540617235