Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book was established after the 6th 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.

model predictive control --- bulbous bow --- improvement differential evolution algorithm --- evolutionary multi-objective optimization --- location routing problem --- flexible job shop scheduling problem --- basic differential evolution algorithm --- metric measure spaces --- NEAT --- genetic algorithm --- multiobjective optimization --- improved differential evolution algorithm --- performance indicator --- rubber --- averaged Hausdorff distance --- mixture experiments --- U-shaped assembly line balancing --- Genetic Programming --- Local Search --- driving events --- surrogate-based optimization --- single component constraints --- crop planning --- Pareto front --- numerical simulations --- shape morphing --- genetic programming --- economic crops --- local search and jump search --- model order reduction --- optimal solutions --- EvoSpace --- risky driving --- intelligent transportation systems --- optimal control --- IV-optimality criterion --- Bloat --- decision space diversity --- modify differential evolution algorithm --- power means --- driving scoring functions --- open-source framework --- evolutionary computation --- differential evolution algorithm --- vehicle routing problem --- multi-objective optimization

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

Information technology industries --- multi-objective optimization problems --- particle swarm optimization (PSO) --- Gaussian mutation --- improved learning strategy --- big data --- interval concept lattice --- horizontal union --- sequence traversal --- evolutionary algorithms --- multi-objective optimization --- parameter puning --- parameter analysis --- particle swarm optimization --- differential evolution --- global continuous optimization --- wireless sensor networks --- task allocation --- stochastic optimization --- social network optimization --- memetic particle swarm optimization --- adaptive local search operator --- co-evolution --- PSO --- formal methods in evolutionary algorithms --- self-adaptive differential evolutionary algorithms --- constrained optimization --- ensemble of constraint handling techniques --- hybrid algorithms --- association rules --- mining algorithm --- vertical union --- neuroevolution --- neural networks --- n/a

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume was conceived as a Special Issue of the MDPI journal Mathematics to illustrate and show relevant applications of differential equations in different fields, coherently with the latest trends in applied mathematics research. All the articles that were submitted for publication are valuable, interesting, and original. The readers will certainly appreciate the heterogeneity of the 10 papers included in this book and will discover how helpful all the kinds of differential equations are in a wide range of disciplines. We are confident that this book will be inspirational for young scholars as well.

q-Hermite polynomials --- zeros of q-Hermite polynomials --- differential equation --- splitted separation --- Lie symmetries --- gauss hypergeometric functions --- initial value problem --- Kepler-type orbits --- Runge–Kutta --- differential evolution --- dynamical systems --- stability --- economics --- relationships --- networks --- oscillatory problems --- SEIR ODE model --- COVID-19 transmission --- convalescent plasma transfusion (CPT) --- degeneracy --- elliptic PDE --- ladder operator --- commuting operator --- eigenvalues --- mixing process --- simultaneous differential equations --- variable production rate --- simulated annealing --- financial markets --- investment style --- border collision bifurcation --- fundamental analysis --- technical analysis --- market maker --- differential equations with discontinuous right-hand sides --- Hopfield artificial neural networks --- n/a --- Runge-Kutta

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This volume collects the papers published on the special issue “Kinematics and Robot Design IV, KaRD2021” (https://www.mdpi.com/journal/robotics/special_issues/KaRD2021), which is the forth edition of the KaRD special-issue series, hosted by the open-access journal “MDPI Robotics”. KaRD series is an open environment where researchers can present their works and discuss all the topics focused on the many aspects that involve kinematics in the design of robotic/automatic systems. Kinematics is so intimately related to the design of robotic/automatic systems that the admitted topics of the KaRD series practically cover all the subjects normally present in well-established international conferences on “mechanisms and robotics”. KaRD2021, after the peer-review process, accepted 12 papers. The accepted papers cover some theoretical and many design/applicative aspects.

Technology: general issues --- History of engineering & technology --- parallel manipulator --- RoboMech --- kinematic synthesis and analysis --- Chebyshev and least-square approximations --- upper limb rehabilitation --- bio-inspired exoskeleton --- cable-driven system --- over-actuation --- Hill’s model --- EP control --- torque adjusting mechanism --- differential evolution --- robot modeling and simulation --- robot design --- dynamic modelling --- rehabilitation robotics --- computational modelling --- simulation --- MATLAB --- Simulink --- SimScape --- SimScape Multibody --- finger grip --- elderly --- ergonomics --- pinch assistant --- pinch force --- usability --- planar linkages --- indeterminate linkages --- screw theory --- collaborative robots --- small-scale production --- skill-based programming --- machine design --- dimensional synthesis --- useful workspace --- performance index --- kinetostatics --- biomimetics --- underwater robots --- robotics --- multibody systems --- transmission systems --- autonomous underwater vehicles --- kinematic synthesis of robots --- mixed-position synthesis --- twist systems --- functional electrical stimulation --- six-bar linkage --- Watt II --- Stephenson III --- performance tricycle --- mechanism optimization --- kinematics --- topology --- design optimization --- dexterity --- inspection --- parallel manipulator --- RoboMech --- kinematic synthesis and analysis --- Chebyshev and least-square approximations --- upper limb rehabilitation --- bio-inspired exoskeleton --- cable-driven system --- over-actuation --- Hill’s model --- EP control --- torque adjusting mechanism --- differential evolution --- robot modeling and simulation --- robot design --- dynamic modelling --- rehabilitation robotics --- computational modelling --- simulation --- MATLAB --- Simulink --- SimScape --- SimScape Multibody --- finger grip --- elderly --- ergonomics --- pinch assistant --- pinch force --- usability --- planar linkages --- indeterminate linkages --- screw theory --- collaborative robots --- small-scale production --- skill-based programming --- machine design --- dimensional synthesis --- useful workspace --- performance index --- kinetostatics --- biomimetics --- underwater robots --- robotics --- multibody systems --- transmission systems --- autonomous underwater vehicles --- kinematic synthesis of robots --- mixed-position synthesis --- twist systems --- functional electrical stimulation --- six-bar linkage --- Watt II --- Stephenson III --- performance tricycle --- mechanism optimization --- kinematics --- topology --- design optimization --- dexterity --- inspection

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections:•Reviews of Computational Methods•Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels•The Interface of Biotic and Abiotic Processes•Processing of Large Data Sets for Enhanced Analysis•Parameter Optimization and Measurement

n/a --- inosine --- immune checkpoint inhibitor --- geometric singular perturbation theory --- simulation --- BioModels Database --- ADAR --- calcium current --- bifurcation analysis --- bacterial biofilms --- nonlinear dynamics --- explanatory model --- turning point bifurcation --- oscillator --- workflow --- bioreactor integrated modeling --- modeling methods --- elementary flux modes visualization --- multiscale systems biology --- evolutionary algorithm --- metabolic model --- differential evolution --- reduced-order model --- computational model --- gut microbiota dysbiosis --- canard-induced EADs --- computational biology --- metabolic modelling --- methods --- SREBP-2 --- mechanistic model --- systems modeling --- biological networks --- macromolecular composition --- provenance --- flux balance analysis --- immunotherapy --- compartmental modeling --- immuno-oncology --- metabolic network visualization --- mechanism --- bistable switch --- Clostridium difficile infection --- bioreactor operation optimization --- microRNA targeting --- CFD simulation --- biomass reaction --- RNA editing --- ordinary differential equation --- metabolic modeling --- mass-action networks --- hybrid model --- multiple time scales --- quantitative systems pharmacology (QSP) --- mathematical modeling --- microRNA --- cancer --- parameter optimization --- Hopf bifurcation --- breast