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An Optimization-Based Approach for Continuous Map Generalization

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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Relative Optimization of Continuous-Time and Continuous-State Stochastic Systems

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems. The;

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A Brief Introduction to Continuous Evolutionary Optimization

search is employed for learning kernel parameters of the Nadaraya-Watson estimator and a swarm-based iterative approach is presented for;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

. The book describes an original approach to 2D SLAM in multi-floor buildings that covers each 2D level map, as well as continuous 3D pose;

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SLAM Techniques Application for Mobile Robot in Rough Terrain

. The book describes an original approach to 2D SLAM in multi-floor buildings that covers each 2D level map, as well as continuous 3D pose;

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Evolutionary Computation with Biogeography-based Optimization

) is an optimization algorithm that is based on the science of biogeography, which researches the migration patterns of species. These migration;

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Difference Equations with Applications to Queues

Presents a theory of difference and functional equations with continuous argument based on a generalization of the Riemann integral;

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Simulation-based Optimization of Energy Efficiency in Production

of production plants through the utilization of a continuous simulation approach in combination with a discrete approach for the modeling of material;

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Predictive Control

optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control;

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Spatial Similarity Relations in Multi-scale Map Spaces

in automated map generalization, including the definitions, classification and features of spatial similarity relations. Included also are calculation;

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Human Motion Simulation

Simulate realistic human motion in a virtual world with an optimization-based approach to motion prediction. With this approach, motion;

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Evolutionary Constrained Optimization

evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based;

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Evolutionary Algorithms

operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are;

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Energy and Process Optimization for the Process Industries

Exploring methods and techniques to optimize processing energy efficiency in process plants, Energy and Process Optimization for the;

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Network Optimization Methods in Passivity-Based Cooperative Control

data-based, model-free approach for the synthesis of network controllers for multi-agent systems with passivity-short agents. Further, the;

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Map Generalization

of map generalization and draws upon the research of the National Center for Geographic Information, State University New York, who set up an;

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Nonlinear and Mixed-Integer Optimization

well as a reference for any engineering student or researcher concerned with continuous and discrete nonlinear optimization issues;

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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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A Derivative-free Two Level Random Search Method for Unconstrained Optimization

presenting a two level derivative-free random search method for unconstrained optimization. It is assumed that the minimizing function is continuous;

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Optimization

Fermat-Lagrange theorem. The book can be used for courses on continuous optimization, from introductory to advanced, for any field for which;

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Introduction to Continuous Optimization

This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of mathematical;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Control and Boundary Analysis

This volume comprises selected papers from the 21st Conference on System Modeling and Optimization in Sophia Antipolis, France. It covers;

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Structured Controllers for Uncertain Systems

of continuous non-convex optimization problems is also provided and various optimization criteria for the design of a structured controller are;

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