Thisvolumerecordstheproceedingsofthe?fthEuropeanconferenceonGenetic Programming(EuroGP2002)whichtookplaceinKinsale,IrelandonApril3–5, 2002, continuing an established tradition of yearly meetings among the most prominent researchers on Genetic Programming in Europe and beyond; their proceedings have always been published in the LNCS series by Springer-Verlag. EuroGP began life in Paris in 1998 as an international workshop (April 14– 15, LNCS 1391); a second workshop took place in G¨ oteborg in 1999 (May 26– 27, LNCS 1598). Its ?rst appearance as a conference was in the year 2000 in Edinburgh (April 15–16, LNCS 1802), followed by last year’s conference held at Lake Como (April 18–19, LNCS 2038). Since the beginning, EuroGP has been co-located with a series of specialist workshops on applications of evolutionary algorithms (LNCS 1468, 1596, 1803, and 2037). In keeping with that tradition, the EvoWorkshops were also held in Kinsale this year at the same time (LNCS 2279). Genetic Programming (GP) is a branch of Evolutionary Computation in which populations of computer programs are made to evolve and adapt to so- ing a particular problem or task by a process that draws its inspiration from Biology and Darwinian evolution. GP is a very versatile technique, which has been applied to a wide range of tasks, as a quick inspection of the 32 papers in these proceedings will easily reveal: economics, robotics, engineering, statistics, pharmacology,electronics,and?nancearebutsomeofthedomainsinwhichthey havebeenemployed.AlthoughtherateofapplicationofGPtoproblemsisst- dily growing, this conference is characterized by its concern with the theoretical foundations of GP: investigation of these issues is attaining an ever increasing depth and maturity.
Author(s): Peter Martin (auth.), James A. Foster, Evelyne Lutton, Julian Miller, Conor Ryan, Andrea Tettamanzi (eds.)
Series: Lecture Notes in Computer Science 2278
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2002
Language: English
Pages: 340
Tags: Programming Techniques; Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Pattern Recognition; Artificial Intelligence (incl. Robotics)
A Pipelined Hardware Implementation of Genetic Programming Using FPGAs and Handel-C....Pages 1-12
Finding Needles in Haystacks Is Not Hard with Neutrality....Pages 13-25
Routine Duplication of Post-2000 Patented Inventions by Means of Genetic Programming....Pages 26-36
Explicit Control of Diversity and Effective Variation Distance in Linear Genetic Programming....Pages 37-49
Discovery of the Boolean Functions to the Best Density-Classification Rules Using Gene Expression Programming....Pages 50-59
Combining Decision Trees and Neural Networks for Drug Discovery....Pages 60-70
Evolving Fuzzy Decision Trees with Genetic Programming and Clustering....Pages 71-82
Linear-Graph GP - A New GP Structure....Pages 83-92
Parallel Surface Reconstruction....Pages 93-102
Evolving Classifiers to Model the Relationship between Strategy and Corporate Performance Using Grammatical Evolution....Pages 103-112
A New View on Symbolic Regression....Pages 113-122
Grammatical Evolution Rules: The Mod and the Bucket Rule....Pages 123-130
No Coercion and No Prohibition, a Position Independent Encoding Scheme for Evolutionary Algorithms – The Chorus System....Pages 131-141
Exons and Code Growth in Genetic Programming....Pages 142-151
Uniform Subtree Mutation....Pages 152-161
Maintaining the Diversity of Genetic Programs....Pages 162-171
N-Version Genetic Programming via Fault Masking....Pages 172-181
An Analysis of Koza’s Computational Effort Statistic for Genetic Programming....Pages 182-191
Genetic Control Applied to Asset Managements....Pages 192-201
Evolutionary Algorithm Approach to Bilateral Negotiations....Pages 202-211
Allele Diffusion in Linear Genetic Programming and Variable-Length Genetic Algorithms with Subtree Crossover....Pages 212-227
Some Experimental Results with Tree Adjunct Grammar Guided Genetic Programming....Pages 228-237
A Puzzle to Challenge Genetic Programming....Pages 238-247
Transformation of Equational Specification by Means of Genetic Programming....Pages 248-257
Automatic Generation of Control Programs for Walking Robots Using Genetic Programming....Pages 258-267
An Investigation into the Use of Different Search Strategies with Grammatical Evolution....Pages 268-277
Genetic Algorithms Using Grammatical Evolution....Pages 278-287
A Brute-Force Approac to Automatic Induction of Machine Code on CISC Architectures....Pages 288-297
Deriving Genetic Programming Fitness Properties by Static Analysis....Pages 298-307
New Results on Fuzzy Regression by Using Genetic Programming....Pages 308-315
Coevolution Produces an Arms Race among Virtual Plants....Pages 316-325
Comparing Synchronous and Asynchronous Parallel and Distributed Genetic Programming Models....Pages 326-335
