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Metaheuristics for Portfolio Optimization

and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results;

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Metaheuristics for Combinatorial Optimization

was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked;

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Metaheuristics

algorithms, particle swarm optimization, scatter search, ant colonies, bee colonies, artificial immune systems) for optimization problems Designing;

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Metaheuristics

considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization;

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Parallel Metaheuristics

Solving complex optimization problems with parallel metaheuristics Parallel Metaheuristics brings together an international group;

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Hybrid Metaheuristics

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

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Metaheuristics for Intelligent Electrical Networks

strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization;

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Hybrid Metaheuristics

of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics;

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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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Heuristics for Optimization and Learning

contribution in three fields, optimization technique for production decision, general development for optimization and computing method and wider;

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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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Metaheuristics for Logistics

lot of books have been written about metaheuristics (methods for solving hard optimization problems) and supply chain management (the field;

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Metaheuristics for Robotics

This book is dedicated to the application of metaheuristic optimization in trajectory generation and control issues in robotics. In this;

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Portfolio Optimization and Performance Analysis

Optimization and Performance Analysis offers a solid grounding in modern portfolio theory. The book presents both standard and novel results on the;

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Uncertain Portfolio Optimization

This book provides a new modeling approach for portfolio optimization problems involving a lack of sufficient historical data. The content;

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Metaheuristics and Optimization in Computer and Electrical Engineering

explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical;

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Socio cultural Inspired Metaheuristics

book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial;

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Optimization in Engineering Sciences

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems;

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Metaheuristics for String Problems in Bio-Informatics

sequences are constantly arising and researchers are highly in need of efficient optimization techniques for solving them. One obstacle for;

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Applying Particle Swarm Optimization

of the expected returns for each asset. The book explains PSO in detail and demonstrates how to implement Markowitz's portfolio optimization;

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Recent Developments in Metaheuristics

studies. The book is divided into two sections. Part I is focused on new optimization and modeling techniques based on metaheuristics. The;

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Financial Risk Modelling & Portfolio Opt

have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial;

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Metaheuristics for Air Traffic Management

. Many optimization problems arise from these topics and they generally involve different kinds of variables, constraints, uncertainties;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Engineering Optimization

for optimization. This book introduces state-of-the-art metaheuristic algorithms and their applications in optimization, using both MATLAB(R;

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