Biologically Inspired Optimisation Methods

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Biologically Inspired Optimization Methods

Mattias Wahde
Biologically Inspired Optimization Methods Book PDF

Author : Mattias Wahde
Publisher : WIT Press
Page : 241 pages
File Size : 55,9 Mb
Release : 2008-08-14
Category : Mathematics
ISBN : 9781845641481

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Biologically Inspired Optimization Methods by Mattias Wahde Pdf

Biologically inspired optimization methods constitute a rapidly expanding field of research, with new applications appearing on an almost daily basis, as optimization problems of ever-increasing complexity appear in science and technology. This book provides a general introduction to such optimization methods, along with descriptions of the biological systems upon which the methods are based. The book also covers classical optimization methods, making it possible for the reader to determine whether a classical optimization method or a biologically inspired one is most suitable for a given problem.

Biologically-Inspired Optimisation Methods

Andrew Lewis,Sanaz Mostaghim,Marcus Randall
Biologically Inspired Optimisation Methods Book PDF

Author : Andrew Lewis,Sanaz Mostaghim,Marcus Randall
Publisher : Springer Science & Business Media
Page : 365 pages
File Size : 55,8 Mb
Release : 2009-05-25
Category : Mathematics
ISBN : 9783642012617

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Biologically-Inspired Optimisation Methods by Andrew Lewis,Sanaz Mostaghim,Marcus Randall Pdf

This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Biologically-Inspired Optimisation Methods

Andrew Lewis,Sanaz Mostaghim,Marcus Randall
Biologically Inspired Optimisation Methods Book PDF

Author : Andrew Lewis,Sanaz Mostaghim,Marcus Randall
Publisher : Springer
Page : 360 pages
File Size : 54,8 Mb
Release : 2009-05-12
Category : Technology & Engineering
ISBN : 9783642012624

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Biologically-Inspired Optimisation Methods by Andrew Lewis,Sanaz Mostaghim,Marcus Randall Pdf

This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Biologically Inspired Techniques in Many-Criteria Decision Making

Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho,Margarita N. Favorskaya
Biologically Inspired Techniques in Many Criteria Decision Making Book PDF

Author : Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho,Margarita N. Favorskaya
Publisher : Springer Nature
Page : 268 pages
File Size : 43,7 Mb
Release : 2020-01-21
Category : Technology & Engineering
ISBN : 9783030390334

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Biologically Inspired Techniques in Many-Criteria Decision Making by Satchidananda Dehuri,Bhabani Shankar Prasad Mishra,Pradeep Kumar Mallick,Sung-Bae Cho,Margarita N. Favorskaya Pdf

This book addresses many-criteria decision-making (MCDM), a process used to find a solution in an environment with several criteria. In many real-world problems, there are several different objectives that need to be taken into account. Solving these problems is a challenging task and requires careful consideration. In real applications, often simple and easy to understand methods are used; as a result, the solutions accepted by decision makers are not always optimal solutions. On the other hand, algorithms that would provide better outcomes are very time consuming. The greatest challenge facing researchers is how to create effective algorithms that will yield optimal solutions with low time complexity. Accordingly, many current research efforts are focused on the implementation of biologically inspired algorithms (BIAs), which are well suited to solving uni-objective problems. This book introduces readers to state-of-the-art developments in biologically inspired techniques and their applications, with a major emphasis on the MCDM process. To do so, it presents a wide range of contributions on e.g. BIAs, MCDM, nature-inspired algorithms, multi-criteria optimization, machine learning and soft computing.

Ontology Alignment Using Biologically-inspired Optimisation Algorithms

Jürgen Bock
Ontology Alignment Using Biologically inspired Optimisation Algorithms Book PDF

Author : Jürgen Bock
Publisher : KIT Scientific Publishing
Page : 244 pages
File Size : 51,7 Mb
Release : 2014-07-31
Category : Science
ISBN : 9783866449367

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Ontology Alignment Using Biologically-inspired Optimisation Algorithms by Jürgen Bock Pdf

It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications.

Bio-Inspired Computation in Telecommunications

Xin-She Yang,Su Fong Chien,T.O. Ting
Bio Inspired Computation in Telecommunications Book PDF

Author : Xin-She Yang,Su Fong Chien,T.O. Ting
Publisher : Morgan Kaufmann
Page : 349 pages
File Size : 50,5 Mb
Release : 2015-02-11
Category : Mathematics
ISBN : 9780128017432

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Bio-Inspired Computation in Telecommunications by Xin-She Yang,Su Fong Chien,T.O. Ting Pdf

Bio-inspired computation, especially those based on swarm intelligence, has become increasingly popular in the last decade. Bio-Inspired Computation in Telecommunications reviews the latest developments in bio-inspired computation from both theory and application as they relate to telecommunications and image processing, providing a complete resource that analyzes and discusses the latest and future trends in research directions. Written by recognized experts, this is a must-have guide for researchers, telecommunication engineers, computer scientists and PhD students.

Bioinspired Optimization Methods and Their Applications

Peter Korošec,Nouredine Melab,El-Ghazali Talbi
Bioinspired Optimization Methods and Their Applications Book PDF

Author : Peter Korošec,Nouredine Melab,El-Ghazali Talbi
Publisher : Springer
Page : 333 pages
File Size : 50,8 Mb
Release : 2018-05-11
Category : Computers
ISBN : 9783319916415

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Bioinspired Optimization Methods and Their Applications by Peter Korošec,Nouredine Melab,El-Ghazali Talbi Pdf

This book constitutes the thoroughly refereed revised selected papers of the 10th International Conference on Bioinspired Optimization Models and Their Applications, BIOMA 2018, held in Paris, France, in May 2018. The 27 revised full papers were selected from 53 submissions and present papers in all aspects of bioinspired optimization research such as new algorithmic developments, high-impact applications, new research challenges, theoretical contributions, implementation issues, and experimental studies.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 277 pages
File Size : 48,9 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Nature-Inspired Methods for Metaheuristics Optimization

Fouad Bennis,Rajib Kumar Bhattacharjya
Nature Inspired Methods for Metaheuristics Optimization Book PDF

Author : Fouad Bennis,Rajib Kumar Bhattacharjya
Publisher : Springer Nature
Page : 503 pages
File Size : 53,5 Mb
Release : 2020-01-17
Category : Business & Economics
ISBN : 9783030264581

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Nature-Inspired Methods for Metaheuristics Optimization by Fouad Bennis,Rajib Kumar Bhattacharjya Pdf

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on advanced applications and case studies. They span different engineering fields, including mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process optimization, among others. The book covers both basic concepts and advanced issues, offering a timely introduction to nature-inspired optimization method for newcomers and students, and a source of inspiration as well as important practical insights to engineers and researchers.

Bio-Inspired Collaborative Intelligent Control and Optimization

Yongsheng Ding,Lei Chen,Kuangrong Hao
Bio Inspired Collaborative Intelligent Control and Optimization Book PDF

Author : Yongsheng Ding,Lei Chen,Kuangrong Hao
Publisher : Springer
Page : 474 pages
File Size : 41,9 Mb
Release : 2017-11-06
Category : Technology & Engineering
ISBN : 9789811066894

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Bio-Inspired Collaborative Intelligent Control and Optimization by Yongsheng Ding,Lei Chen,Kuangrong Hao Pdf

This book presents state-of-the-art research advances in the field of biologically inspired cooperative control theories and their applications. It describes various biologically inspired cooperative control and optimization approaches and highlights real-world examples in complex industrial processes. Multidisciplinary in nature and closely integrating theory and practice, the book will be of interest to all university researchers, control engineers and graduate students in intelligent systems and control who wish to learn the core principles, methods, algorithms, and applications.

A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Camilo Caraveo,Fevrier Valdez,Oscar Castillo
A New Bio inspired Optimization Algorithm Based on the Self defense Mechanism of Plants in Nature Book PDF

Author : Camilo Caraveo,Fevrier Valdez,Oscar Castillo
Publisher : Springer
Page : 57 pages
File Size : 47,9 Mb
Release : 2018-12-30
Category : Technology & Engineering
ISBN : 9783030055516

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A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature by Camilo Caraveo,Fevrier Valdez,Oscar Castillo Pdf

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory organisms, such as herbivorous insects. The proposed algorithm is based on the predator–prey mathematical model originally proposed by Lotka and Volterra, consisting of two nonlinear first-order differential equations, which allow the growth of two interacting populations (prey and predator) to be modeled. The proposed meta-heuristic is able to produce excellent results in several sets of benchmark optimization problems. Further, fuzzy logic is used for dynamic parameter adaptation in the algorithm.

Robotic Systems: Concepts, Methodologies, Tools, and Applications

Management Association, Information Resources
Robotic Systems Concepts Methodologies Tools and Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 2075 pages
File Size : 54,7 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9781799817550

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Robotic Systems: Concepts, Methodologies, Tools, and Applications by Management Association, Information Resources Pdf

Through expanded intelligence, the use of robotics has fundamentally transformed a variety of fields, including manufacturing, aerospace, medicine, social services, and agriculture. Continued research on robotic design is critical to solving various dynamic obstacles individuals, enterprises, and humanity at large face on a daily basis. Robotic Systems: Concepts, Methodologies, Tools, and Applications is a vital reference source that delves into the current issues, methodologies, and trends relating to advanced robotic technology in the modern world. Highlighting a range of topics such as mechatronics, cybernetics, and human-computer interaction, this multi-volume book is ideally designed for robotics engineers, mechanical engineers, robotics technicians, operators, software engineers, designers, programmers, industry professionals, researchers, students, academicians, and computer practitioners seeking current research on developing innovative ideas for intelligent and autonomous robotics systems.

Nature-Inspired Optimization Algorithms

Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Nature Inspired Optimization Algorithms Book PDF

Author : Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen
Publisher : Walter de Gruyter GmbH & Co KG
Page : 201 pages
File Size : 54,6 Mb
Release : 2021-02-08
Category : Computers
ISBN : 9783110676150

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Nature-Inspired Optimization Algorithms by Aditya Khamparia,Ashish Khanna,Nhu Gia Nguyen,Bao Le Nguyen Pdf

This book will focus on the involvement of data mining and intelligent computing methods for recent advances in Biomedical applications and algorithms of nature-inspired computing for Biomedical systems. The proposed meta heuristic or nature-inspired techniques should be an enhanced, hybrid, adaptive or improved version of basic algorithms in terms of performance and convergence metrics. In this exciting and emerging interdisciplinary area a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems. Today, analysis and processing of data is one of big focuses among researchers community and information society. Due to evolution and knowledge discovery of natural computing, related meta heuristic or bio-inspired algorithms have gained increasing popularity in the recent decade because of their significant potential to tackle computationally intractable optimization dilemma in medical, engineering, military, space and industry fields. The main reason behind the success rate of nature inspired algorithms is their capability to solve problems. The nature inspired optimization techniques provide adaptive computational tools for the complex optimization problems and diversified engineering applications. Tentative Table of Contents/Topic Coverage: - Neural Computation - Evolutionary Computing Methods - Neuroscience driven AI Inspired Algorithms - Biological System based algorithms - Hybrid and Intelligent Computing Algorithms - Application of Natural Computing - Review and State of art analysis of Optimization algorithms - Molecular and Quantum computing applications - Swarm Intelligence - Population based algorithm and other optimizations

Intelligent Decision Making Through Bio-Inspired Optimization

Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Intelligent Decision Making Through Bio Inspired Optimization Book PDF

Author : Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram
Publisher : IGI Global
Page : 291 pages
File Size : 43,8 Mb
Release : 2024-04-15
Category : Business & Economics
ISBN : 9798369320747

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Intelligent Decision Making Through Bio-Inspired Optimization by Jaganathan, Ramkumar,Mehta, Shilpa,Krishan, Ram Pdf

Academic scholars, entrenched in the complexities of various domains, face the daunting task of navigating intricate decision-making scenarios. The prevailing need for efficient and effective decision-making tools becomes increasingly apparent as traditional methodologies struggle to keep pace with the demands of modern research and industry. This pivotal issue necessitates a shift, urging scholars to explore unconventional approaches that can transcend disciplinary boundaries and unlock new dimensions of problem-solving. In response to these pressing challenges, Intelligent Decision Making Through Bio-Inspired Optimization emerges as a beacon of ingenuity. This groundbreaking book transcends usual disciplinary boundaries, seamlessly integrating computer science, artificial intelligence, optimization, and decision science. Its multidisciplinary approach addresses the inherent complexities faced by scholars, offering a comprehensive exploration of nature-inspired algorithms such as genetic algorithms, swarm intelligence, and evolutionary strategies. The book's core mission is to empower academic scholars with the tools to overcome contemporary decision-making hurdles, providing a holistic understanding of these bio-inspired approaches and their potential to revolutionize the scholarly landscape.

Bioinspired Computation in Combinatorial Optimization

Frank Neumann,Carsten Witt
Bioinspired Computation in Combinatorial Optimization Book PDF

Author : Frank Neumann,Carsten Witt
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 43,9 Mb
Release : 2010-11-04
Category : Mathematics
ISBN : 9783642165443

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Bioinspired Computation in Combinatorial Optimization by Frank Neumann,Carsten Witt Pdf

Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimization, and with this comes the requirement to more fully understand the computational complexity of these search heuristics. This is the first textbook covering the most important results achieved in this area. The authors study the computational complexity of bioinspired computation and show how runtime behavior can be analyzed in a rigorous way using some of the best-known combinatorial optimization problems -- minimum spanning trees, shortest paths, maximum matching, covering and scheduling problems. A feature of the book is the separate treatment of single- and multiobjective problems, the latter a domain where the development of the underlying theory seems to be lagging practical successes. This book will be very valuable for teaching courses on bioinspired computation and combinatorial optimization. Researchers will also benefit as the presentation of the theory covers the most important developments in the field over the last 10 years. Finally, with a focus on well-studied combinatorial optimization problems rather than toy problems, the book will also be very valuable for practitioners in this field.