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This textbook provides the reader with an essential understanding of computational methods for intelligent systems. These are defined as systems that can solve problems autonomously, in particular problems where algorithmic solutions are inconceivable for humans or not practically executable by computers. Despite the rapidly growing applications in this field, the book avoids application details, instead focusing on computational methods that equip the reader with the methodological tools and competencies necessary to tackle current and future complex applications. The book consists of two parts: computational intelligence methods for optimization, and machine learning. Part I begins with the concept of optimization, and introduces local search algorithms, genetic algorithms, and particle swarm optimization. Part II begins with an introduction to machine learning and covers several methods, many of which can be used as supervised learning algorithms, such as decision tree learning, artificial neural networks, genetic programming, Bayesian learning, support vector machines, and ensemble methods, plus a discussion of unsupervised learning. This textbook is written in a self-contained style, suitable for undergraduate or graduate students in computer science and engineering, and for self-study by researchers and practitioners.

Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Artificial Intelligence.

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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

Biology --- Health & Biological Sciences --- Biology - General --- Computer science. --- Computers. --- Algorithms. --- Data mining. --- Bioinformatics. --- Computer Science. --- Computational Biology/Bioinformatics. --- Data Mining and Knowledge Discovery. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Bioinformatics --- Artificial intelligence --- Computational biology --- Biological applications --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer software. --- Informatics --- Science --- Software, Computer --- Computer systems --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Bio-informatics --- Biological informatics --- Information science --- Systems biology --- Data processing --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Calculators --- Cyberspace --- Algorism --- Algebra --- Arithmetic --- Foundations --- Computational and Systems Biology. --- Theory of Computation.

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This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.

Complex analysis --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Computer science --- Programming --- Computer architecture. Operating systems --- Information systems --- complexe analyse (wiskunde) --- bio-informatica --- bedrijfssoftware --- machine learning --- data mining --- computers --- informatica --- biometrie --- database management --- computerkunde --- moleculaire biologie --- data acquisition

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This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

Bioinformatics --- Artificial intelligence --- Evolutionary computation --- Machine learning --- Data mining --- Biology --- Information Storage and Retrieval --- Biological Evolution --- Computing Methodologies --- Publication Formats --- Publication Characteristics --- Genetic Processes --- Biological Processes --- Biological Science Disciplines --- Information Science --- Medical Informatics Applications --- Natural Science Disciplines --- Medical Informatics --- Genetic Phenomena --- Biological Phenomena --- Phenomena and Processes --- Disciplines and Occupations --- Evolution, Molecular --- Artificial Intelligence --- Computational Biology --- Data Mining --- Congresses --- Health & Biological Sciences --- Biology - General --- Computer science. --- Data structures (Computer science). --- Computers. --- Algorithms. --- Database management. --- Artificial intelligence. --- Bioinformatics. --- Computer Science. --- Computational Biology/Bioinformatics. --- Algorithm Analysis and Problem Complexity. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- Data Structures. --- Bio-informatics --- Biological informatics --- Information science --- Computational biology --- Systems biology --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Informatics --- Science --- Data processing --- Foundations --- Computer software. --- Data structures (Computer scienc. --- Artificial Intelligence. --- Data structures (Computer science) --- Software, Computer --- Artificial intelligence—Data processing. --- Computational and Systems Biology. --- Theory of Computation. --- Data Science.

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This book constitutes the refereed proceedings of the 10th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2012, held in Málaga, Spain, in April 2012 co-located with the Evo* 2012 events. The 15 revised full papers presented together with 8 poster papers were carefully reviewed and selected from numerous submissions. Computational Biology is a wide and varied discipline, incorporating aspects of statistical analysis, data structure and algorithm design, machine learning, and mathematical modeling toward the processing and improved understanding of biological data. Experimentalists now routinely generate new information on such a massive scale that the techniques of computer science are needed to establish any meaningful result. As a consequence, biologists now face the challenges of algorithmic complexity and tractability, and combinatorial explosion when conducting even basic analyses.

Complex analysis --- Biomathematics. Biometry. Biostatistics --- Molecular biology --- Computer science --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- complexe analyse (wiskunde) --- bio-informatica --- machine learning --- data mining --- informatica --- biometrie --- database management --- programmatielogica --- KI (kunstmatige intelligentie) --- robots --- moleculaire biologie