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Metaheuristic Approaches to Portfolio Optimization

of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial;

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Metaheuristic Approaches to Portfolio Optimization

of assets. Metaheuristic Approaches to Portfolio Optimization is an essential reference source that examines the proper selection of financial;

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Metaheuristic Computation with MATLAB (R)

metaheuristic techniques and complex optimization problems that profit from the convenient properties of metaheuristic approaches. Therefore, engineer;

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Metaheuristic Computation with MATLAB (R)

metaheuristic techniques and complex optimization problems that profit from the convenient properties of metaheuristic approaches. Therefore, engineer;

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Ant Colony Optimization and Constraint Programming

Ant colony optimization is a metaheuristic which has been successfully applied to a wide range of combinatorial optimization problems. The;

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Advances in Structural Engineering-Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and;

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Advances in Structural Engineering Optimization

This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applicatio

of not only the traditional, but also the contemporary certain nature-inspired metaheuristic algorithms to specific engineering optimization;

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Metaheuristic and Evolutionary Computation Algorithms and Applications

metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems;

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A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)

/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization;

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Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization

metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they;

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Practical Approach Metaheuristics LabVIE

/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems;

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Optimization of Process Flowsheets through Metaheuristic Techniques

process simulators and metaheuristic techniques. The proposed approach is general and shows how to implement links between different process;

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Recent Metaheuristics Algorithms for Parameter Identification

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help;

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Recent Metaheuristics Algorithms for Parameter Identification

This book presents new, alternative metaheuristic developments that have proved to be effective in various complex problems to help;

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Nature-Inspired Metaheuristic Algorithms

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough;

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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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Advances in Metaheuristics

Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization;

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Advances in Metaheuristics

Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization;

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Recent Metaheuristic Computation Schemes in Engineering

application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they;

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Recent Developments in Metaheuristics

and increase the potential of metaheuristic algorithms. Part II showcases advanced metaheuristic approaches to solve real-life applications;

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Uncertain Portfolio Optimization

, respectively. As such, it offers readers a comprehensive and up-to-date guide to uncertain portfolio optimization models.;

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Metaheuristics for Structural Design and Analysis

of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis;

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