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Nature-Inspired Methods for Metaheuristics Optimization

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first;

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Bioinspired Heuristics for Optimization

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some;

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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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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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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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Introduction to Nature-Inspired Optimization

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;

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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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Frontier Applications of Nature Inspired Computation

This book addresses the frontier advances in the theory and application of nature-inspired optimization techniques, including solving the;

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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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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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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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Metaheuristics

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

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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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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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Nature-Inspired Optimization Algorithms

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

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Applied Optimization and Swarm Intelligence

intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for;

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Mathematical Foundations of Nature-Inspired Algorithms

This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and;

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Parallel Metaheuristics

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

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Nature Inspired Optimization for Electrical Power System

, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non;

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Nature Inspired Optimization for Electrical Power System

, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non;

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Nature-Inspired Optimization Algorithms

superior in performance. Nature has a rich abundance of flora and fauna that inspired the development of nature inspired optimization techniques;

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Recent Metaheuristics Algorithms for Parameter Identification

researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic;

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Recent Metaheuristics Algorithms for Parameter Identification

researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic;

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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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Hybrid Metaheuristics

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

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Nature Inspired Computing for Data Science

learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically;

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