New Metaheuristic Schemes Mechanisms And Applications

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New Metaheuristic Schemes: Mechanisms and Applications

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 3031455614
Total Pages : 280 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis New Metaheuristic Schemes: Mechanisms and Applications by : Erik Cuevas

Download or read book New Metaheuristic Schemes: Mechanisms and Applications written by Erik Cuevas and published by Springer Nature. This book was released on 2023-12-08 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, novel metaheuristic techniques have emerged in response to the limitations of conventional approaches, leading to enhanced outcomes. These new methods introduce interesting mechanisms and innovative collaborative strategies that facilitate the efficient exploration and exploitation of extensive search spaces characterized by numerous dimensions. The objective of this book is to present advancements that discuss novel alternative metaheuristic developments that have demonstrated their effectiveness in tackling various complex problems. This book encompasses a variety of emerging metaheuristic methods and their practical applications. The content is presented from a teaching perspective, making it particularly suitable for undergraduate and postgraduate students in fields such as science, electrical engineering, and computational mathematics. The book aligns well with courses in artificial intelligence, electrical engineering, and evolutionary computation. Furthermore, the material offers valuable insights to researchers within the metaheuristic and engineering communities. Similarly, engineering practitioners unfamiliar with metaheuristic computation concepts will recognize the pragmatic value of the discussed techniques. These methods transcend mere theoretical tools that have been adapted to effectively address the significant real-world problems commonly encountered in engineering domains.

Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 303163053X
Total Pages : 309 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis by : Erik Cuevas

Download or read book Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis written by Erik Cuevas and published by Springer Nature. This book was released on with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Metaheuristic Computation: A Performance Perspective

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 3030581004
Total Pages : 281 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Metaheuristic Computation: A Performance Perspective by : Erik Cuevas

Download or read book Metaheuristic Computation: A Performance Perspective written by Erik Cuevas and published by Springer Nature. This book was released on 2020-10-05 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. Metaheuristic search methods are so numerous and varied in terms of design and potential applications; however, for such an abundant family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm contributes more to its better performance? Several works that compare the performance among metaheuristic approaches have been reported in the literature. Nevertheless, they suffer from one of the following limitations: (A)Their conclusions are based on the performance of popular evolutionary approaches over a set of synthetic functions with exact solutions and well-known behaviors, without considering the application context or including recent developments. (B) Their conclusions consider only the comparison of their final results which cannot evaluate the nature of a good or bad balance between exploration and exploitation. The objective of this book is to compare the performance of various metaheuristic techniques when they are faced with complex optimization problems extracted from different engineering domains. The material has been compiled from a teaching perspective.

Metaheuristic Optimization via Memory and Evolution

Author : Cesar Rego
Publisher : Springer Science & Business Media
ISBN 13 : 0387236678
Total Pages : 472 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Metaheuristic Optimization via Memory and Evolution by : Cesar Rego

Download or read book Metaheuristic Optimization via Memory and Evolution written by Cesar Rego and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of Metaheuristic Optimization via Memory and Evolution: Tabu Search and Scatter Search is to report original research on algorithms and applications of tabu search, scatter search or both, as well as variations and extensions having "adaptive memory programming" as a primary focus. Individual chapters identify useful new implementations or new ways to integrate and apply the principles of TS and SS, or that prove new theoretical results, or describe the successful application of these methods to real world problems.

Handbook of Metaheuristics

Author : Fred W. Glover
Publisher : Springer Science & Business Media
ISBN 13 : 0306480565
Total Pages : 560 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Handbook of Metaheuristics by : Fred W. Glover

Download or read book Handbook of Metaheuristics written by Fred W. Glover and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 as stand alone presentations giving both the necessary background underpinnings as well as practical guides for implementation.

Analysis and Comparison of Metaheuristics

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 3031201051
Total Pages : 230 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Analysis and Comparison of Metaheuristics by : Erik Cuevas

Download or read book Analysis and Comparison of Metaheuristics written by Erik Cuevas and published by Springer Nature. This book was released on 2022-11-02 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comparative perspective of current metaheuristic developments, which have proved to be effective in their application to several complex problems. The study of biological and social entities such as animals, humans, or insects that manifest a cooperative behavior has produced several computational models in metaheuristic methods. Although these schemes emulate very different processes or systems, the rules used to model individual behavior are very similar. Under such conditions, it is not clear to identify which are the advantages or disadvantages of each metaheuristic technique. The book is compiled from a teaching perspective. For this reason, the book is primarily intended for undergraduate and postgraduate students of Science, Electrical Engineering, or Computational Mathematics. It is appropriate for courses such as Artificial Intelligence, Electrical Engineering, Evolutionary Computation. The book is also useful for researchers from the evolutionary and engineering communities. Likewise, engineer practitioners, who are not familiar with metaheuristic computation concepts, will appreciate that the techniques discussed are beyond simple theoretical tools since they have been adapted to solve significant problems that commonly arise in engineering areas.

Metaheuristics for Finding Multiple Solutions

Author : Mike Preuss
Publisher : Springer Nature
ISBN 13 : 3030795535
Total Pages : 322 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Metaheuristics for Finding Multiple Solutions by : Mike Preuss

Download or read book Metaheuristics for Finding Multiple Solutions written by Mike Preuss and published by Springer Nature. This book was released on 2021-10-22 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution. However, in real-world settings, many problems are “multimodal” by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as “niching” methods, because of the nature-inspired “niching” effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges. To facilitate the advance of niching methods in facing these challenges, this edited book highlights the latest developments in niching methods. The included chapters touch on algorithmic improvements and developments, representation, and visualization issues, as well as new research directions, such as preference incorporation in decision making and new application areas. This edited book is a first of this kind specifically on the topic of niching techniques. This book will serve as a valuable reference book both for researchers and practitioners. Although chapters are written in a mutually independent way, Chapter 1 will help novice readers get an overview of the field. It describes the development of the field and its current state and provides a comparative analysis of the IEEE CEC and ACM GECCO niching competitions of recent years, followed by a collection of open research questions and possible research directions that may be tackled in the future.

New Advancements in Swarm Algorithms: Operators and Applications

Author : Erik Cuevas
Publisher : Springer
ISBN 13 : 3030163393
Total Pages : 296 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis New Advancements in Swarm Algorithms: Operators and Applications by : Erik Cuevas

Download or read book New Advancements in Swarm Algorithms: Operators and Applications written by Erik Cuevas and published by Springer. This book was released on 2019-04-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advances in alternative swarm development that have proved to be effective in several complex problems. Swarm intelligence (SI) is a problem-solving methodology that results from the cooperation between a set of agents with similar characteristics. The study of biological entities, such as animals and insects, manifesting social behavior has resulted in several computational models of swarm intelligence. While there are numerous books addressing the most widely known swarm methods, namely ant colony algorithms and particle swarm optimization, those discussing new alternative approaches are rare. The focus on developments based on the simple modification of popular swarm methods overlooks the opportunity to discover new techniques and procedures that can be useful in solving problems formulated by the academic and industrial communities. Presenting various novel swarm methods and their practical applications, the book helps researchers, lecturers, engineers and practitioners solve their own optimization problems.

Swarm Intelligence

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 178984536X
Total Pages : 130 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Swarm Intelligence by :

Download or read book Swarm Intelligence written by and published by BoD – Books on Demand. This book was released on 2019-12-04 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swarm Intelligence has emerged as one of the most studied artificial intelligence branches during the last decade, constituting the fastest growing stream in the bio-inspired computation community. A clear trend can be deduced analyzing some of the most renowned scientific databases available, showing that the interest aroused by this branch has increased at a notable pace in the last years. This book describes the prominent theories and recent developments of Swarm Intelligence methods, and their application in all fields covered by engineering. This book unleashes a great opportunity for researchers, lecturers, and practitioners interested in Swarm Intelligence, optimization problems, and artificial intelligence.

Advances in Smart Vehicular Technology, Transportation, Communication and Applications

Author : Shaoquan Ni
Publisher : Springer
ISBN 13 : 303004582X
Total Pages : 497 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Advances in Smart Vehicular Technology, Transportation, Communication and Applications by : Shaoquan Ni

Download or read book Advances in Smart Vehicular Technology, Transportation, Communication and Applications written by Shaoquan Ni and published by Springer. This book was released on 2018-11-30 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights papers presented at the Second International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2018), which was held at Mount Emei, Sichuan Province, China from 25 to 28 October 2018. The conference was co-sponsored by Springer, Southwest Jiaotong University, Fujian University of Technology, Chang’an University, Shandong University of Science and Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, and the National Demonstration Center for Experimental Electronic Information and Electrical Technology Education (Fujian University of Technology). The conference was intended as an international forum for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications.

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Author : Ali Wagdy Mohamed
Publisher : Springer Nature
ISBN 13 : 3031075161
Total Pages : 220 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Handbook of Nature-Inspired Optimization Algorithms: The State of the Art by : Ali Wagdy Mohamed

Download or read book Handbook of Nature-Inspired Optimization Algorithms: The State of the Art written by Ali Wagdy Mohamed and published by Springer Nature. This book was released on 2022-09-03 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency. The main objective for this book is to make available a self-contained collection of modern research addressing the general constrained optimization problems in many real-world applications using nature-inspired optimization algorithms. This book is suitable for a graduate class on optimization, but will also be useful for interested senior students working on their research projects.

Advances in Artificial Intelligence: Theories, Models, and Applications

Author : Stasinos Konstantopoulos
Publisher : Springer
ISBN 13 : 3642128424
Total Pages : 433 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Advances in Artificial Intelligence: Theories, Models, and Applications by : Stasinos Konstantopoulos

Download or read book Advances in Artificial Intelligence: Theories, Models, and Applications written by Stasinos Konstantopoulos and published by Springer. This book was released on 2010-05-09 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the refereed proceedings of the 6th Hellenic Conference on Artificial Intelligence, SETN 2010, held in Athens, Greece, in May 2010. The 28 revised full papers and 22 revised short papers presented were carefully reviewed and selected from 83 submissions. The topics include but are not restricted to adaptive systems; AI and creativity; AI architectures; artificial life; autonomous systems; data mining and knowledge discovery; hybrid intelligent systems & methods; intelligent agents, multi-agent systems; intelligent distributed systems; intelligent information retrieval; intelligent/natural interactivity, intelligent virtual environments; knowledge representation and reasoning, logic programming; knowledge-based systems; machine learning, neural nets, genetic algorithms; natural language processing; planning and scheduling; problem solving, constraint satisfaction; robotics, machine vision, machine sensing.

Recent Metaheuristic Computation Schemes in Engineering

Author : Erik Cuevas
Publisher : Springer Nature
ISBN 13 : 3030660079
Total Pages : 282 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Recent Metaheuristic Computation Schemes in Engineering by : Erik Cuevas

Download or read book Recent Metaheuristic Computation Schemes in Engineering written by Erik Cuevas and published by Springer Nature. This book was released on 2021-02-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes two objectives. The first goal is to present advances and developments which have proved to be effective in their application to several complex problems. The second objective is to present the performance comparison of various metaheuristic techniques when they face complex optimization problems. The material has been compiled from a teaching perspective. Most of the problems in science, engineering, economics, and other areas can be translated as an optimization or a search problem. According to their characteristics, some problems can be simple that can be solved by traditional optimization methods based on mathematical analysis. However, most of the problems of practical importance in engineering represent complex scenarios so that they are very hard to be solved by using traditional approaches. Under such circumstances, metaheuristic has emerged as the best alternative to solve this kind of complex formulations. This book is primarily intended for undergraduate and postgraduate students. Engineers and application developers can also benefit from the book contents since it has been structured so that each chapter can be read independently from the others, and therefore, only potential interesting information can be quickly available for solving an industrial problem at hand.

Metaheuristic Optimization in Power Engineering

Author : Jordan Radosavljević
Publisher :
ISBN 13 : 9781837241378
Total Pages : 0 pages
Book Rating : 4.2/5 (413 download)

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Book Synopsis Metaheuristic Optimization in Power Engineering by : Jordan Radosavljević

Download or read book Metaheuristic Optimization in Power Engineering written by Jordan Radosavljević and published by . This book was released on 2024-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition in two volumes of the systematic and comprehensive reference on metaheuristic methods for power systems with distributed renewables, which offers MATLAB-based software, with revised and new chapters.

Metaheuristic Computation with MATLAB®

Author : Erik Cuevas
Publisher : CRC Press
ISBN 13 : 100009653X
Total Pages : 250 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Metaheuristic Computation with MATLAB® by : Erik Cuevas

Download or read book Metaheuristic Computation with MATLAB® written by Erik Cuevas and published by CRC Press. This book was released on 2020-09-14 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies. Book Features: Provides a unified view of the most popular metaheuristic methods currently in use Includes the necessary concepts to enable readers to implement and modify already known metaheuristic methods to solve problems Covers design aspects and implementation in MATLAB® Contains numerous examples of problems and solutions that demonstrate the power of these methods of optimization The material has been written from a teaching perspective and, for this reason, this book is primarily intended for undergraduate and postgraduate students of artificial intelligence, metaheuristic methods, and/or evolutionary computation. The objective is to bridge the gap between metaheuristic techniques and complex optimization problems that profit from the convenient properties of metaheuristic approaches. Therefore, engineer practitioners who are not familiar with metaheuristic computation will appreciate that the techniques discussed are beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas.

Engineering Optimization

Author : Xin-She Yang
Publisher : John Wiley & Sons
ISBN 13 : 0470640413
Total Pages : 377 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Engineering Optimization by : Xin-She Yang

Download or read book Engineering Optimization written by Xin-She Yang and published by John Wiley & Sons. This book was released on 2010-07-20 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Advances in Metaheuristics Algorithms: Methods and Applications

Author : Erik Cuevas
Publisher : Springer
ISBN 13 : 3319893092
Total Pages : 229 pages
Book Rating : 4.3/5 (198 download)

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Book Synopsis Advances in Metaheuristics Algorithms: Methods and Applications by : Erik Cuevas

Download or read book Advances in Metaheuristics Algorithms: Methods and Applications written by Erik Cuevas and published by Springer. This book was released on 2018-04-10 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.