Download Genetic Programming Theory and Practice VIII by Michael Orlov, Moshe Sipper (auth.), Rick Riolo, Trent PDF

By Michael Orlov, Moshe Sipper (auth.), Rick Riolo, Trent McConaghy, Ekaterina Vladislavleva (eds.)

The contributions during this quantity are written through the key foreign researchers and practitioners within the GP enviornment. They learn the similarities and alterations among theoretical and empirical effects on real-world difficulties. The textual content explores the synergy among thought and perform, generating a complete view of the cutting-edge in GP application.

Topics comprise: FINCH: A procedure for Evolving Java, sensible Autoconstructive Evolution, The Rubik dice and GP Temporal series studying, Ensemble classifiers: AdaBoost and Orthogonal Evolution of groups, Self-modifying Cartesian GP, summary Expression Grammar Symbolic Regression, Age-Fitness Pareto Optimization, Scalable Symbolic Regression by way of non-stop Evolution, Symbolic Density types, GP Transforms in Linear Regression events, Protein Interactions in a Computational Evolution approach, Composition of track and fiscal concepts through GP, and Evolutionary artwork utilizing Summed Multi-Objective Ranks.

Readers will observe large-scale, real-world purposes of GP to numerous challenge domain names through in-depth displays of the newest and most important ends up in GP .

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Genetic Programming Theory and Practice VIII

The contributions during this quantity are written through the key overseas researchers and practitioners within the GP enviornment. They learn the similarities and alterations among theoretical and empirical effects on real-world difficulties. The textual content explores the synergy among idea and perform, generating a finished view of the cutting-edge in GP software.

Additional info for Genetic Programming Theory and Practice VIII

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Consider, for example, the Java program segment shown in Figure 15(a). It is a seemingly simple syntactic structure, which belies, however, a host of semantic constraints, including: type compatibility in variable assignment, variable initialization before read access, and variable visibility. The similar (and CFG-conforming) segment shown in Figure 1-5(b) violates all these constraints: variable y in the conditional test is uninitialized during a read access, its subsequent assignment to x is type-incompatible, and variable z is undefined.

We disagree with such an argument. , 2008, ch. 4). Java’s formal (BNF) rules are purely syntactic, in no way capturing the language’s type system, variable visibility and accessibility, and other semantic constraints. Correct handling of these constraints in order to ensure the production of viable individuals would essentially necessitate the programming of a full-scale Java compiler—a highly demanding task, not to be taken lightly. , an extension to context-free grammars (CFGs), such as logic grammars, can be taken advantage of in order to represent the necessary contextual constraints (Wong and Leung, 2000).

Since the design of the JVM is closely tied to the design of the Java programming FINCH: A System for Evolving Java (Bytecode) 3 language, such decompilation often produces code that is very similar to the original source code (Miecznikowski and Hendren, 2002). We chose to automatically improve extant Java programs by evolving the respective compiled bytecode versions. This allows us to leverage the power of a well-defined, cross-platform, intermediate machine language at just the right level of abstraction: We do not need to define a special evolutionary language, thus necessitating an elaborate two-way transformation between Java and our language; nor do we evolve at the Java level, with its encumbering syntactic constraints, which render the genetic operators of crossover and mutation arduous to implement.

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