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Botany --- Botanik. --- Zeitschrift. --- Plants --- Botanique --- Periodicals. --- Périodiques --- Agriculture Sciences --- Engineering --- Environmental Sciences --- Life Sciences --- General and Others --- Agricultural Engineering --- Biodiversity --- Ecosystems & Ecology --- Taxonomy & Systematics --- Israel --- Jerusalem --- general botany --- periodical --- universities --- Plant sciences
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There is increasing interest in genetic programming by both researchers and professional software developers. These twenty-two invited contributions show how a wide variety of problems across disciplines can be solved using this new paradigm.There is increasing interest in genetic programming by both researchers and professional software developers. These twenty-two invited contributions show how a wide variety of problems across disciplines can be solved using this new paradigm.Advances in Genetic Programming reports significant results in improving the power of genetic programming, presenting techniques that can be employed immediately in the solution of complex problems in many areas, including machine learning and the simulation of autonomous behavior. Popular languages such as C and C++ are used in many of the applications and experiments, illustrating how genetic programming is not restricted to symbolic computing languages such as LISP. Researchers interested in getting started in genetic programming will find information on how to begin, on what public domain code is available, and on how to become part of the active genetic programming community via electronic mail.A major focus of the book is on improving the power of genetic programming. Experimental results are presented in a variety of areas, including adding memory to genetic programming, using locality and "demes" to maintain evolutionary diversity, avoiding the traps of local optima by using coevolution, using noise to increase generality, and limiting the size of evolved solutions to improve generality.Significant theoretical results in the understanding of the processes underlying genetic programming are presented, as are several results in the area of automatic function definition. Performance increases are demonstrated by directly evolving machine code, and implementation and design issues for genetic programming in C++ are discussed.
Programming --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer architecture. Operating systems --- Genetic programming (Computer science) --- Programmation génétique (informatique) --- MET Methods & Techniques --- computer science --- electronic digital computers --- methods & techniques --- programming --- Engineering & Applied Sciences --- Computer Science --- COMPUTER SCIENCE/Artificial Intelligence --- COMPUTER SCIENCE/Machine Learning & Neural Networks --- Computer programming --- Genetic algorithms --- Programming. --- Computer programming. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programmation génétique (informatique)
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C++ (Computer program language) --- Computer graphics --- Object-oriented programming (Computer science) --- C++ (Langage de programmation) --- Infographie --- Programmation orientée objet (Informatique) --- 681.3*D32 --- Computer programming --- Object-oriented methods (Computer science) --- Document Object Model (Web site development technology) --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Digital techniques --- Computer graphics. --- MET Methods & Techniques --- C and C++ computer program languages --- computer science --- methods & techniques --- C++ (Computer program language). --- Object-oriented programming (Computer science). --- 681.3*D32 language classifications: applicative languages; data-flow languages; design languages; extensible languages; macro and assembly languages; nonprocedural languages; specialized application and very high-level languages (Programminglanguages) --- Programmation orientée objet (Informatique)
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581.526.422.2 --- 630*12 --- 574.9 <8=6> --- Tropical rain forest formations --- General biology --- Biogeography in general. Geographical distribution of organisms--Latijns Amerika --- Human ecology --- Natural history --- Rain forest ecology --- Environmental Sciences and Forestry. Forestry --- Forest Ecology --- Ecology of Tropical Forests --- Estación Biológica La Selva (Costa Rica) --- AMS South America --- Costa Rica --- South America --- ecology --- natural history --- neotropical forests --- rain forests --- Ecology of Tropical Forests. --- Estación Biológica La Selva (Costa Rica). --- 574.9 <8=6> Biogeography in general. Geographical distribution of organisms--Latijns Amerika --- 630*12 General biology --- 581.526.422.2 Tropical rain forest formations --- History, Natural --- Natural science --- Physiophilosophy --- Biology --- Science --- Ecology --- Environment, Human --- Human beings --- Human environment --- Ecological engineering --- Human geography --- Nature --- Equatorial forest ecology --- Rain forests --- Tropical rain forest ecology --- Forest ecology --- Social aspects --- Effect of environment on --- Effect of human beings on --- Estación Biológica La Selva (Costa Rica) --- La Selva Biological Station (Costa Rica) --- LSBS --- EBLS
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