Comprehensive Metaheuristics

This book PDF is perfect for those who love Computers genre, written by Seyedali Mirjalili and published by Elsevier which was released on 10 February 2023 with total hardcover pages 468. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Comprehensive Metaheuristics books below.

Comprehensive Metaheuristics
Author : Seyedali Mirjalili
File Size : 55,9 Mb
Publisher : Elsevier
Language : English
Release Date : 10 February 2023
ISBN : 9780323972673
Pages : 468 pages
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Comprehensive Metaheuristics by Seyedali Mirjalili Book PDF Summary

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics. Each algorithm is thoroughly analyzed to observe its behavior, providing a detailed tutorial on how to solve problems using metaheuristics. New case studies and research problem statements are also discussed, which will help researchers in their application of the concepts. Presented by world-renowned researchers and practitioners in metaheuristics Includes techniques, algorithms, and applications based on real-world case studies Presents the methodology for formulating optimization problems for metaheuristics Provides readers with methods for analyzing and tuning the performance of a metaheuristic, as well as for integrating metaheuristics in other AI techniques Features online complementary source code from the applications and algorithms

Comprehensive Metaheuristics

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and

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Comprehensive Metaheuristics

Metaheuristics are general-purpose problem-solving Artificial Intelligence techniques that can be used to solve any sort of optimization problems subject to proper configuration. Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of Metaheuristics and the broad scope of algorithms and real-world applications across a variety of research fields. The book

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This book provides both the research and practitioner communities with a comprehensive coverage of the metaheuristic methodologies that have proven to be successful in a wide variety of real-world problem settings. Moreover, it is these metaheuristic strategies that hold particular promise for success in the future. The various chapters serve

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Despite its importance, logistics engineering often lags industry requirements, especially in terms of engineering-based needs. Filling the gap between education and practice, this brief but comprehensive volume covers the most basic material in the field of logistics engineering, making is suitable for those who require an overview of the topic.

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Achieving state-of-the-art excellence and attaining the cost reductions associated with outstanding logistics efforts is an obvious gain in terms of competitive edge and profitability. As logistics tools evolve in comprehensiveness and complexity, and the use of these new tools becomes more pervasive, maintaining a position of leadership in logistics functions

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Hybrid Metaheuristics  Research And Applications

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic

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