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Genetic programming (Computer science) --- Pattern recognition systems. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Computer programming --- Genetic algorithms

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Computer scheduling. --- Genetic programming (Computer science) --- Machine learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Computer programming --- Genetic algorithms --- Electronic data processing --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Production scheduling --- Time-sharing computer systems --- Scheduling

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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The great advances in information technology (IT) have implications for many sectors, such as bioinformatics, and has considerably increased their possibilities. This book presents a collection of 11 original research papers, all of them related to the application of IT-related techniques within the bioinformatics sector: from new applications created from the adaptation and application of existing techniques to the creation of new methodologies to solve existing problems.

Technology: general issues --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast --- machine learning --- metagenomics --- bioinformatics --- CTX-M --- data mining --- cluster --- clinical implications --- diabetes --- epidemiology --- forecast --- PART --- Decision table --- Weka --- real-life patients --- regression --- ear detection --- computer vision --- convolutional neural network --- image recognition --- video analysis --- gene clustering --- swarm intelligence --- biological functions detection --- informative genes --- fuel cell --- hydrogen energy --- intelligent systems --- hybrid systems --- Artificial Neural Networks --- power management --- Machine Learning --- personality assessment --- gradient boosting --- Affective Computing --- transposable elements --- metrics --- deep learning --- detection --- classification --- mitochondrial protein --- bi-directional LSTM --- plasmodium falciparum --- Particle Swarm Optimization --- Harmony Search --- parameter estimation --- Arabidopsis thaliana --- clinical data --- feature selection --- genetic programming --- evolutionary computation --- dynamic models --- evolutionary computing --- derivative-free optimization --- metabolism --- glycolysis --- yeast

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This book was established after the 8th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Research & information: general --- Mathematics & science --- robust optimization --- differential evolution --- ROOT --- optimization framework --- drainage rehabilitation --- overflooding --- pipe breaking --- VCO --- CMOS differential pair --- PVT variations --- Monte Carlo analysis --- multi-objective optimization --- Pareto Tracer --- continuation --- constraint handling --- surrogate modeling --- multiobjective optimization --- evolutionary algorithms --- kriging method --- ensemble method --- adaptive algorithm --- liquid storage tanks --- base excitation --- artificial intelligence --- Multi-Gene Genetic Programming --- computational fluid dynamics --- finite volume method --- JSSP --- CMOSA --- CMOTA --- chaotic perturbation --- fixed point arithmetic --- FP16 --- pseudo random number generator --- incorporation of preferences --- multi-criteria classification --- decision-making process --- multi-objective evolutionary optimization --- outranking relationships --- decision maker profile --- profile assessment --- region of interest approximation --- optimization using preferences --- hybrid evolutionary approach --- forecasting --- Convolutional Neural Network --- LSTM --- COVID-19 --- deep learning --- trust region methods --- multiobjective descent --- derivative-free optimization --- radial basis functions --- fully linear models --- decision making process --- cognitive tasks --- recommender system --- project portfolio selection problem --- usability evaluation --- multi-objective portfolio optimization problem --- trapezoidal fuzzy numbers --- density estimators --- steady state algorithms --- protein structure prediction --- Hybrid Simulated Annealing --- Template-Based Modeling --- structural biology --- Metropolis --- optimization --- linear programming --- energy central --- robust optimization --- differential evolution --- ROOT --- optimization framework --- drainage rehabilitation --- overflooding --- pipe breaking --- VCO --- CMOS differential pair --- PVT variations --- Monte Carlo analysis --- multi-objective optimization --- Pareto Tracer --- continuation --- constraint handling --- surrogate modeling --- multiobjective optimization --- evolutionary algorithms --- kriging method --- ensemble method --- adaptive algorithm --- liquid storage tanks --- base excitation --- artificial intelligence --- Multi-Gene Genetic Programming --- computational fluid dynamics --- finite volume method --- JSSP --- CMOSA --- CMOTA --- chaotic perturbation --- fixed point arithmetic --- FP16 --- pseudo random number generator --- incorporation of preferences --- multi-criteria classification --- decision-making process --- multi-objective evolutionary optimization --- outranking relationships --- decision maker profile --- profile assessment --- region of interest approximation --- optimization using preferences --- hybrid evolutionary approach --- forecasting --- Convolutional Neural Network --- LSTM --- COVID-19 --- deep learning --- trust region methods --- multiobjective descent --- derivative-free optimization --- radial basis functions --- fully linear models --- decision making process --- cognitive tasks --- recommender system --- project portfolio selection problem --- usability evaluation --- multi-objective portfolio optimization problem --- trapezoidal fuzzy numbers --- density estimators --- steady state algorithms --- protein structure prediction --- Hybrid Simulated Annealing --- Template-Based Modeling --- structural biology --- Metropolis --- optimization --- linear programming --- energy central