Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V
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101

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Published By Springer Berlin Heidelberg

9783540650782, 9783540496724

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Empirical analysis of the factors that affect the Baldwin effect

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056890 ◽

1998 ◽

pp. 481-490 ◽

Cited By ~ 13

Author(s):

Kim W. C. Ku ◽

M. W. Mak

Keyword(s):

Empirical Analysis ◽

Baldwin Effect ◽

The Baldwin Effect

A bit-wise epistasis measure for binary search spaces

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056848 ◽

1998 ◽

pp. 47-56 ◽

Cited By ~ 11

Author(s):

Cyril Fonlupt ◽

Denis Robilliard ◽

Philippe Preux

Keyword(s):

Binary Search ◽

Search Spaces

Genetic algorithms for the Multiple Container Packing Problem

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056929 ◽

1998 ◽

pp. 875-884 ◽

Cited By ~ 17

Author(s):

Günther R. Raidl ◽

Gabriele Kodydek

Keyword(s):

Genetic Algorithms ◽

Packing Problem

Symbiotic coevolution of artificial neural networks and training data sets

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056893 ◽

1998 ◽

pp. 511-520 ◽

Cited By ~ 9

Author(s):

Helmut A. Mayer

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Training Data ◽

Data Sets ◽

Artificial Neural ◽

And Training

Comparison of Evolutionary Algorithms for design optimization

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056933 ◽

1998 ◽

pp. 917-926 ◽

Cited By ~ 1

Author(s):

Wilfried Jakob ◽

Martina Gorges-Schleuter ◽

Ingo Sieber

Keyword(s):

Evolutionary Algorithms ◽

Design Optimization

Landscape changes and the performance of Mapping Based Constraint handling methods

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056865 ◽

1998 ◽

pp. 221-229

Author(s):

Dae Gyu Kim ◽

Phil Husbands

Keyword(s):

Constraint Handling ◽

Landscape Changes ◽

Handling Methods

On risky methods for local selection under noise

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056860 ◽

1998 ◽

pp. 169-177 ◽

Cited By ~ 1

Author(s):

Günter Rudolph

Keyword(s):

Local Selection

Averaging efficiently in the presence of noise

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056862 ◽

1998 ◽

pp. 188-197 ◽

Cited By ~ 47

Author(s):

Peter Stagge

A heuristic combination method for solving job-shop scheduling problems

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056926 ◽

1998 ◽

pp. 845-854 ◽

Cited By ~ 26

Author(s):

Emma Hart ◽

Peter Ross

Keyword(s):

Job Shop ◽

Job Shop Scheduling ◽

Combination Method ◽

Scheduling Problems ◽

Shop Scheduling

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

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V ◽

10.1007/bfb0056896 ◽

1998 ◽

pp. 540-549 ◽

Cited By ~ 2

Author(s):

J. L. Shapiro

Keyword(s):

Data Model ◽

Generalization Performance

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN VLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Empirical analysis of the factors that affect the Baldwin effect

A bit-wise epistasis measure for binary search spaces

Genetic algorithms for the Multiple Container Packing Problem

Symbiotic coevolution of artificial neural networks and training data sets

Comparison of Evolutionary Algorithms for design optimization

Landscape changes and the performance of Mapping Based Constraint handling methods

On risky methods for local selection under noise

Averaging efficiently in the presence of noise

A heuristic combination method for solving job-shop scheduling problems

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

Lecture Notes in Computer Science - Parallel Problem Solving from Nature — PPSN V
Latest Publications