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Probability-Based Multi-objective Optimization for Material Selection

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection;

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Portfolio Selection Using Multi Objective Optimisation

and practical approach for multi-objective portfolio optimization. This book will be of interest to Foreign Institutional Investors (FIIs;

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Multi-criteria Decision Analysis for Supporting the Selection of Engineering Materials in Product Design

materials selection process through different case studies Presents a methodology for multi-objective material design optimization that;

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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 Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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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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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins;

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

This book explores the design of optimal trajectories for space maneuver vehicles (SMVs) using optimal control-based techniques. It begins;

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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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Maximum-Score Diversity Selection

classical multi-objective optimization problem since both objectives -- maximizing score and maximizing diversity -- tend to conflict with each;

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Data Intensive Industrial Asset Management: Iot-Based Algorithms and Implementation

, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the;

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Phase Change Material-Based Heat Sinks

Phase-change Material based heat sinks and associated optimization remains a topic of great interest, as evident from the increasing number;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for;

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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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Data Intensive Industrial Asset Management

, failure detection, data driven optimization algorithm, and a multi-objective optimization approach, all of which can significantly enhance the;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021;

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Multi-objective Optimization

research in the last 10 years, spurred by the new and effective techniques for multi-objective optimization. In order to capture this renewed;

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A Brief Introduction to Continuous Evolutionary Optimization

problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization;

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Advances in Swarm Intelligence, Part I

, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune;

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Multi-objective Design Of Antennas Using Surrogate Models

methodologies for handling computationally expensive simulation models of antenna structures in the sense of their multi-objective optimization. Also;

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Numerical Simulation-based Design

upon the advanced design methods, covering high-fidelitysimulation modeling, rapid structural analysis, multi-objective design optimization;

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Learning and Intelligent Optimization

optimization problems. Special focus is given to algorithm selection and configuration, learning, fitness landscape, applications, dynamic optimization;

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

utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization;

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Design Optimisation and Validation of Phononic Crystal Plates for Manipulation o

also introduces a multi-objective topology optimization method for 2D porous PhPs allowing both maximized RBW and in-plane stiffness and;

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Decomposition-Based Evolutionary Optimization in Complex Environments

Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable;

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