Parallel Problem Solving from Nature — PPSN IV: International Conference on Evolutionary Computation — The 4th International Conference on Parallel Problem Solving from Nature Berlin, Germany, September 22–26, 1996 Proceedings

Computational brittleness and the evolution of computer viruses....Pages 1-11
Evolutionary computing in multi-agent environments: Speciation and symbiogenesis....Pages 12-21
Evolution strategies with subjective selection....Pages 22-31
Emergent cooperation for multiple agents using genetic programming....Pages 32-41
Evolution programs evolved....Pages 42-51
Encoding scheme issues for open-ended artificial evolution....Pages 52-61
Hardware evolution at function level....Pages 62-71
Coevolutionary life-time learning....Pages 72-80
Genetic programs and co-evolution....Pages 81-90
Self-assemblage of gene nets in evolution via recruiting of new netters....Pages 91-100
A survey of intron research in genetics....Pages 101-110
Analytical and numerical investigations of evolutionary algorithms in continuous spaces....Pages 111-121
On the asymptotic behavior of multirecombinant Evolution Strategies....Pages 122-133
Are long path problems hard for genetic algorithms?....Pages 134-143
Random tree generation for genetic programming....Pages 144-153
Implicit formae in genetic algorithms....Pages 154-163
A probabilistic database approach to the analysis of genetic algorithms....Pages 164-173
Mean field analysis of tournament selection on a random manifold....Pages 174-177
From recombination of genes to the estimation of distributions I. Binary parameters....Pages 178-187
From recombination of genes to the estimation of distributions II. Continuous parameters....Pages 188-197
Searching in the presence of noise....Pages 198-207
The density of states — A measure of the difficulty of optimisation problems....Pages 208-217
On interactive evolutionary algorithms and stochastic mealy automata....Pages 218-226
The influence of different coding schemes on the computational complexity of genetic algorithms in function optimization....Pages 227-235
An analysis of the effects of neighborhood size and shape on local selection algorithms....Pages 236-244
Evolutionary computation at the edge of feasibility....Pages 245-254
Dimensional analysis of allele-wise mixing revisited....Pages 255-265
Gaussian diffusion in a simple genetic algorithm....Pages 266-275
Erroneous truncation selection — A breeder's decision making perspective....Pages 276-285
New crossover methods for sequencing problems....Pages 287-299
The effect of extensive use of the mutation operator on generalization in genetic programming using sparse data sets....Pages 300-309
On permutation representations for scheduling problems....Pages 310-318
Multi-parent's niche: N-ary crossovers on NK-landscapes....Pages 319-328
A preliminary investigation into directed mutations in evolutionary algorithms....Pages 329-335
Heuristic crossovers for real-coded genetic algorithms based on fuzzy connectives....Pages 336-345
Are evolutionary algorithms improved by large mutations?....Pages 346-355
Mutation by imitation in boolean evolution strategies....Pages 356-365
Formal algorithms + formal representations =search strategies....Pages 366-375
A genetic algorithm with variable range of local search for tracking changing environments....Pages 376-385
An Evolution Strategy with adaptation of the step sizes by a variance function....Pages 387-397
Every niching method has its niche: Fitness sharing and implicit sharing compared....Pages 398-407
Effects of isolation in a distributed population genetic algorithm....Pages 408-419
Self-adaptive genetic algorithm for numeric functions....Pages 420-429
Niche search: An evolutionary algorithm for global optimisation....Pages 430-440
Adaptively parameterised evolutionary systems: Self adaptive recombination and mutation in a genetic algorithm....Pages 441-450
Obtaining multiple distinct solutions with genetic algorithm niching methods....Pages 451-460
Cost Based Operator Rate Adaptation: An investigation....Pages 461-469
Genetic algorithms and relational landscapes....Pages 471-481
IOGA: An instance-oriented genetic algorithm....Pages 482-493
Explicit filtering of building blocks for genetic algorithms....Pages 494-503
Multi-objective optimization by means of the thermodynamical genetic algorithm....Pages 504-512
Adaptation to a changing environment by means of the thermodynamical genetic algorithm....Pages 513-522
The development of a dual-agent strategy for efficient search across whole system engineering design hierarchies....Pages 523-532
A parallel cellular genetic algorithm used in finite element simulation....Pages 533-542
A robust solution searching scheme in genetic search....Pages 543-552
Solving MasterMind using GAs and simulated annealing: A case of dynamic constraint optimization....Pages 553-563
Evolving compact solutions in genetic programming: A case study....Pages 564-573
Climbing up NP-hard hills....Pages 574-583
On the performance assessment and comparison of stochastic multiobjective optimizers....Pages 584-593
Paginating the generalized newspapers — A comparison of simulated annealing and a heuristic method....Pages 594-603
A comparison of optimization techniques for integrated manufacturing planning and scheduling....Pages 604-613
A comparison of search techniques on a wing-box optimisation problem....Pages 614-623
A comparative study of evolutionary algorithms for on-line parameter tracking....Pages 624-633
Modeling urban growth by cellular automata....Pages 635-645
Democratic optimization for discrete and continuous systems....Pages 646-655
A study of some properties of Ant-Q....Pages 656-665
Immunoid: An immunological approach to decentralized behavior arbitration of autonomous mobile robots....Pages 666-675
Parallelizable evolutionary dynamics principles for solving the maximum clique problem....Pages 676-685
Significance of locality and selection pressure in the grand deluge evolutionary algorithm....Pages 686-695
Parallel computing with DNA: Toward the anti-universal machine....Pages 696-705
Tackling the “curse of dimensionality” of radial basis functional neural networks using a genetic algorithm....Pages 707-719
A Three-stage method for designing Genetic Fuzzy Systems by learning from examples....Pages 720-729
Learning heuristics for OBDD minimization by Evolutionary Algorithms....Pages 730-739
Improving the generalization performance of multi-layer-perceptrons with population-based incremental learning....Pages 740-750
Robust GP in robot learning....Pages 751-760
A pattern recognition system using evolvable hardware....Pages 761-770
Topology design of feedforward neural networks by genetic algorithms....Pages 771-780
An evolution strategy for on-line optimisation of dynamic objective functions....Pages 781-790
Exploiting competing subpopulations for automatic generation of test sequences for digital circuits....Pages 791-800
Constraint handling in evolutionary search: A case study of the frequency assignment....Pages 801-810
An application of genetic algorithms and neural networks to scheduling power generating systems....Pages 811-818
Evolutionary algorithms for the calculation of electron distributions in Si-MOSFETs....Pages 819-828
Refueling of a nuclear power plant: Comparison of a naive and a specialized mutation operator....Pages 829-838
Genetic algorithms applied to the physical design of VLSI circuits: A survey....Pages 839-848
Stochastic methods for transistor size optimization of CMOS VLSI circuits....Pages 849-858
An adaptive parallel Genetic Algorithm for VLSI-layout optimization....Pages 859-868
Genetic algorithms for protocol validation....Pages 869-879
Constraint handling for the fault coverage code generation problem: An inductive evolutionary approach....Pages 880-889
New genetic local search operators for the traveling salesman problem....Pages 890-899
An evolutionary approach to hardware/software partitioning....Pages 900-909
Evolutionary Air Traffic Flow Management for large 3D-problems....Pages 910-919
Genetic-based dynamic load balancing: Implementation and evaluation....Pages 920-929
Production scheduling with genetic algorithms and simulation....Pages 930-939
Network optimization using evolutionary strategies....Pages 940-949
Co-evolving parallel random number generators....Pages 950-959
Scheduling by genetic local search with multi-step crossover....Pages 960-969
Finding the conformation of organic molecules with genetic algorithms....Pages 971-981
Investigating a Parallel Breeder Genetic Algorithm on the inverse Aerodynamic design....Pages 982-991
An evolutionary design for f -θ lenses....Pages 992-1001
Optimization of heat exchanger networks by means of evolution strategies....Pages 1002-1011
Industrial plant pipe-route optimisation with genetic algorithms....Pages 1012-1021
An evolutionary algorithm for design optimization of microsystems....Pages 1022-1031
A learning classifier system for three-dimensional shape optimization....Pages 1032-1042