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Multi-Objective Optimization utilizing Cluster Analysis applied to Dimensional Transposed Problems

With respect to the importance of multi-objective optimization in the context of the today's information processing and analysis, as well;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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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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Bayesian and High-Dimensional Global Optimization

portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called 'curse of dimensionality'. An;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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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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Modeling, Assessment, and Optimization of Energy Systems

optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems

with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design;

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Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to;

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Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to;

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design;

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Hybrid Metaheuristics

readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objectivemulti-objective;

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Multi-objective Design Of Antennas Using Surrogate Models

This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic;

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Decomposition-Based Evolutionary Optimization in Complex Environments

the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization;

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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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Principles in Noisy Optimization

of evolutionary optimization, the book subsequently explores the principles of noisy optimization in single and multi-objective settings, and presents;

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Genetic Algorithms

latest issues and provides insights into various theoretical and technical aspects of evolutionary multi-objective optimization problems and;

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Fixed Point Theory, Variational Analysis, and Optimization

and variational-like inequalities and their applications Gives an introduction to multi-objective optimization and optimality conditions;

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Multi-Objective Optimization Using Evolu

. Evolutionary algorithms are very powerful techniques used to find solutions to real-world search and optimization problems. Many of these problems have;

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Optimization Using Evolutionary Algorithms and Metaheuristics

, high-quality evaluations of nonfiction academic writing. Metaheuristic optimization is a higher-level procedure or heuristic designed to;

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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 Constrained Optimization

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

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