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AIDA CMK Multi Algorithm Optimization Kernel Applied to Analog IC Sizing

This work addresses the research and development of an innovative optimization kernel applied to analog integrated circuit (IC) design;

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Yield-Aware Analog IC Design and Optimization in Nanometer-scale Technologies

developed yield estimation technique, the authors also provide detailed background on automatic analog IC sizing and optimization.;

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Yield-Aware Analog IC Design and Optimization in Nanometer-scale Technologies

developed yield estimation technique, the authors also provide detailed background on automatic analog IC sizing and optimization.;

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Using Artificial Neural Networks for Analog Integrated Circuit Design Automation

. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization;

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Wireless Receiver Architectures and Design

of design methodology Covers the design trade-offs and algorithms between the analog front end and the digital modem - enabling an end-to;

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Multi-mode Active Vibration Control Using H Optimization MIMO Positive Position Feedback Based Genetic Algorithm

Multi-Mode Active Vibration Control Using H Optimization Mimo Positive Position Feedback Based Genetic Algorithm is een boek van Zhonghui;

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Optimization Using Evolutionary Algorithms and Metaheuristics

subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are;

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Structured Analog CMOS Design

Structured Analog CMOS Design describes a structured analog design approach that makes it possible to simplify complex analog design;

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Metaheuristic Optimization

optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and;

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Advances in Swarm Intelligence

Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic;

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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

optimization techniques to controller tuning are explained. Case studies of optimization algorithms applied to controller tuning dealing with;

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Advances in Swarm Intelligence

algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data;

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CMOS Analog and Mixed-Signal Circuit Design

The purpose of this book is to provide a complete working knowledge of the Complementary Metal-Oxide Semiconductor (CMOS) analog and mixed;

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CMOS Analog and Mixed-Signal Circuit Design

The purpose of this book is to provide a complete working knowledge of the Complementary Metal-Oxide Semiconductor (CMOS) analog and mixed;

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Mathematical Optimization Terminology

Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;

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Computational Intelligence in Analog and Mixed Signal AMS and Radio Frequency

techniques - to the design of integrated circuits and systems. It highlights new biasing and sizing approaches and optimization techniques and their;

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Metaheuristic Optimization in Power Engineering

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a;

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Robust and Constrained Optimization

vectorization techniques are proposed as efficient ways to compute robust solutions. In one study, a rain-fall optimization algorithm has been applied;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization;

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Optimization Using Evolutionary Algorithms and Metaheuristics

find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem;

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