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Logic-Based Methods for Optimization

unifying the two fields. Logic-Based Methods for Optimization develops for the first time a comprehensive conceptual framework for integrating;

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Optimization Methods For Logical Inference

Merging logic and mathematics in deductive inference--an innovative, cutting--edge approach. Optimization methods for logical inference;

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Intelligent Control

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based;

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Optimization Theory Based on Neutrosophic and Plithogenic Sets

related to optimization for the topic from the theoretical and applied viewpoints in neutrosophic sets and logic. All essential;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to;

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Introduction to Derivative-Free Optimization

The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This;

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Multidisciplinary Design Optimization Supported By Knowledge

Multidisciplinary Design Optimization supported by Knowledge Based Engineering supports engineers confronting this daunting and new design;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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New Optimization Algorithms and their Applications

New Optimization Algorithms and Applications: Atom-Based, Ecosystem-Based and Economics-Based presents the development of three new;

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New Data Structures and Algorithms for Logic Synthesis and Verification

This book introduces new logic primitives for electronic design automation tools. The author approaches fundamental EDA problems from a;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Optimization Methods for Material Design of Cement-based Composites

This book provides a clear and comprehensive introduction to the subject of optimization methods. Optimal mix design for both ordinary and;

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Advanced Optimization for Process Systems Engineering

theory and methods for process systems engineers. Topics covered include continuous, discrete and logic optimization (linear, nonlinear, mixed;

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High Performance Simulation for Industrial Paint Shop Applications

end, this book covers various optimization techniques for three individual fluid simulation techniques, namely grid-based methods, volumetric;

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High Performance Simulation for Industrial Paint Shop Applications

end, this book covers various optimization techniques for three individual fluid simulation techniques, namely grid-based methods, volumetric;

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Finite Elements-based Optimization

This book is intended to be a cookbook for students and researchers to understand the finite element method and optimization methods and;

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Stochastic Optimization with Simulation Based Optimization

. In comparison with existing simulation based optimization methods, the proposed framework leads to better solutions especially for problems with high;

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Mathematical Methods in Artificial Intelligence

manipulating knowledge symbolically. These are various forms of logic for qualitative knowledge, and probability and related concepts for quantitative;

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Computational Intelligence in Expensive Optimization Problems

inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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Computational Methods and Production Engineering

systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As;

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Logic-Based Program Synthesis and Transformation

This book constitutes the thoroughly refereed post-conference proceedings of the 18th International Symposium on Logic-Based Program;

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Regularization, Optimization, Kernels, and Support Vector Machines

-negative matrix factorization Examines low-rank matrix and tensor-based models Presents advanced kernel methods for batch and online machine;

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Regularization, Optimization, Kernels, and Support Vector Machines

graph-based regularization methods for single- and multi-task learning Considers regularized methods for dictionary learning and;

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Boolean Circuit Rewiring

authors cover logic transformation techniques with concentration on rewiring. For many decades, the effect of wiring on logic structures has been;

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Introduction to Propositional Satisfiability

Propositional logic allows for description and then solving of a significant class of constraint satisfaction problems, namely those that;

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