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Genetic Algorithms and Genetic Programming: Modern Concepts and
Practical Applications discusses algorithmic developments in the
context of genetic algorithms (GAs) and genetic programming (GP).
It applies the algorithms to significant combinatorial optimization
problems and describes structure identification using HeuristicLab
as a platform for algorithm development. The book focuses on both
theoretical and empirical aspects. The theoretical sections explore
the important and characteristic properties of the basic GA as well
as main characteristics of the selected algorithmic extensions
developed by the authors. In the empirical parts of the text, the
authors apply GAs to two combinatorial optimization problems: the
traveling salesman and capacitated vehicle routing problems. To
highlight the properties of the algorithmic measures in the field
of GP, they analyze GP-based nonlinear structure identification
applied to time series and classification problems. Written by core
members of the HeuristicLab team, this book provides a better
understanding of the basic workflow of GAs and GP, encouraging
readers to establish new bionic, problem-independent theoretical
concepts. By comparing the results of standard GA and GP
implementation with several algorithmic extensions, it also shows
how to substantially increase achievable solution quality.
BrunoBuchberger This book is a synopsis of basic and applied
research done at the various re search institutions of the
Softwarepark Hagenberg in Austria. Starting with 15 coworkers in my
Research Institute for Symbolic Computation (RISC), I initiated the
Softwarepark Hagenberg in 1987 on request of the Upper Aus trian
Government with the objective of creating a scienti?c,
technological, and economic impulse for the region and the
international community. In the meantime, in a joint e?ort, the
Softwarepark Hagenberg has grown to the current (2009) size of over
1000 R&D employees and 1300 students in six research
institutions, 40 companies and 20 academic study programs on the
bachelor, master's and PhD level. The goal of the Softwarepark
Hagenberg is innovation of economy in one of the most important
current technologies: software. It is the message of this book that
this can only be achieved and guaranteed long term by "watering the
root", namely emphasis on research, both basic and applied. In this
book, we summarize what has been achieved in terms of research in
the various research institutions in the Softwarepark Hagenberg and
what research vision we have for the imminent future. When I
founded the Softwarepark Hagenberg, in addition to the "watering
the root" principle, I had the vision that such a technology park
can only prosper if we realize the "magic triangle", i.e. the close
interaction of research, academic education, and business
applications at one site, see Figure 1.
BrunoBuchberger This book is a synopsis of basic and applied
research done at the various re search institutions of the
Softwarepark Hagenberg in Austria. Starting with 15 coworkers in my
Research Institute for Symbolic Computation (RISC), I initiated the
Softwarepark Hagenberg in 1987 on request of the Upper Aus trian
Government with the objective of creating a scienti?c,
technological, and economic impulse for the region and the
international community. In the meantime, in a joint e?ort, the
Softwarepark Hagenberg has grown to the current (2009) size of over
1000 R&D employees and 1300 students in six research
institutions, 40 companies and 20 academic study programs on the
bachelor, master's and PhD level. The goal of the Softwarepark
Hagenberg is innovation of economy in one of the most important
current technologies: software. It is the message of this book that
this can only be achieved and guaranteed long term by "watering the
root," namely emphasis on research, both basic and applied. In this
book, we summarize what has been achieved in terms of research in
the various research institutions in the Softwarepark Hagenberg and
what research vision we have for the imminent future. When I
founded the Softwarepark Hagenberg, in addition to the "watering
the root" principle, I had the vision that such a technology park
can only prosper if we realize the "magic triangle," i.e. the close
interaction of research, academic education, and business
applications at one site, see Figure 1.
Genetic Algorithms and Genetic Programming: Modern Concepts and
Practical Applications discusses algorithmic developments in the
context of genetic algorithms (GAs) and genetic programming (GP).
It applies the algorithms to significant combinatorial optimization
problems and describes structure identification using HeuristicLab
as a platform for algorithm development. The book focuses on both
theoretical and empirical aspects. The theoretical sections explore
the important and characteristic properties of the basic GA as well
as main characteristics of the selected algorithmic extensions
developed by the authors. In the empirical parts of the text, the
authors apply GAs to two combinatorial optimization problems: the
traveling salesman and capacitated vehicle routing problems. To
highlight the properties of the algorithmic measures in the field
of GP, they analyze GP-based nonlinear structure identification
applied to time series and classification problems. Written by core
members of the HeuristicLab team, this book provides a better
understanding of the basic workflow of GAs and GP, encouraging
readers to establish new bionic, problem-independent theoretical
concepts. By comparing the results of standard GA and GP
implementation with several algorithmic extensions, it also shows
how to substantially increase achievable solution quality.
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