Brain Storm Optimization Algorithms

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Brain Storm Optimization Algorithms

Shi Cheng,Yuhui Shi
Brain Storm Optimization Algorithms Book PDF

Author : Shi Cheng,Yuhui Shi
Publisher : Springer
Page : 299 pages
File Size : 53,9 Mb
Release : 2019-06-03
Category : Technology & Engineering
ISBN : 9783030150709

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Brain Storm Optimization Algorithms by Shi Cheng,Yuhui Shi Pdf

Brain Storm Optimization (BSO) algorithms are a new kind of swarm intelligence method, which is based on the collective behavior of human beings, i.e., on the brainstorming process. Since the introduction of BSO algorithms in 2011, many studies on them have been conducted. They not only offer an optimization method, but could also be viewed as a framework of optimization techniques. The process employed in the algorithms could be simplified as a framework with two basic operations: the converging operation and the diverging operation. A “good enough” optimum could be obtained through recursive solution divergence and convergence. The resulting optimization algorithm would naturally have the capability of both convergence and divergence. This book is primarily intended for researchers, engineers, and graduate students with an interest in BSO algorithms and their applications. The chapters cover various aspects of BSO algorithms, and collectively provide broad insights into what these algorithms have to offer. The book is ideally suited as a graduate-level textbook, whereby students may be tasked with the study of the rich variants of BSO algorithms that involves a hands-on implementation to demonstrate the utility and applicability of BSO algorithms in solving optimization problems.

Advances in Swarm Intelligence, Part I

Ying Tan,Yuhui Shi,Yi Chai,Guoyin Wang
Advances in Swarm Intelligence Part I Book PDF

Author : Ying Tan,Yuhui Shi,Yi Chai,Guoyin Wang
Publisher : Springer Science & Business Media
Page : 668 pages
File Size : 41,7 Mb
Release : 2011-05-26
Category : Computers
ISBN : 9783642215148

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Advances in Swarm Intelligence, Part I by Ying Tan,Yuhui Shi,Yi Chai,Guoyin Wang Pdf

The two-volume set (LNCS 6728 and 6729) constitutes the refereed proceedings of the International Conference on Swarm Intelligence, ICSI 2011, held in Chongqing, China, in June 2011. The 143 revised full papers presented were carefully reviewed and selected from 298 submissions. The papers are organized in topical sections on theoretical analysis of swarm intelligence algorithms, particle swarm optimization, applications of pso algorithms, ant colony optimization algorithms, bee colony algorithms, novel swarm-based optimization algorithms, artificial immune system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I. Topics addressed in part II are such as multi-objective optimization algorithms, multi-robot, swarm-robot, and multi-agent systems, data mining methods, machine learning methods, feature selection algorithms, pattern recognition methods, intelligent control, other optimization algorithms and applications, data fusion and swarm intelligence, as well as fish school search - foundations and applications.

Emerging Research on Swarm Intelligence and Algorithm Optimization

Shi, Yuhui
Emerging Research on Swarm Intelligence and Algorithm Optimization Book PDF

Author : Shi, Yuhui
Publisher : IGI Global
Page : 369 pages
File Size : 45,5 Mb
Release : 2014-07-31
Category : Computers
ISBN : 9781466663299

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Emerging Research on Swarm Intelligence and Algorithm Optimization by Shi, Yuhui Pdf

Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.

Hybrid Intelligent Systems

Ajith Abraham,Pranab Kr. Muhuri,Azah Kamilah Muda,Niketa Gandhi
Hybrid Intelligent Systems Book PDF

Author : Ajith Abraham,Pranab Kr. Muhuri,Azah Kamilah Muda,Niketa Gandhi
Publisher : Springer
Page : 354 pages
File Size : 51,7 Mb
Release : 2018-03-15
Category : Technology & Engineering
ISBN : 9783319763514

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Hybrid Intelligent Systems by Ajith Abraham,Pranab Kr. Muhuri,Azah Kamilah Muda,Niketa Gandhi Pdf

This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, 2017. Reflecting the awareness in the respective academic communities that combined approaches are essential to solving the remaining tough problems in computational intelligence, the HIS is a premier conference focused on the hybridization of intelligent systems. The book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Discrete Problems in Nature Inspired Algorithms

Anupam Prof. Shukla,Ritu Tiwari
Discrete Problems in Nature Inspired Algorithms Book PDF

Author : Anupam Prof. Shukla,Ritu Tiwari
Publisher : CRC Press
Page : 310 pages
File Size : 51,9 Mb
Release : 2017-12-15
Category : Computers
ISBN : 9781351260879

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Discrete Problems in Nature Inspired Algorithms by Anupam Prof. Shukla,Ritu Tiwari Pdf

This book includes introduction of several algorithms which are exclusively for graph based problems, namely combinatorial optimization problems, path formation problems, etc. Each chapter includes the introduction of the basic traditional nature inspired algorithm and discussion of the modified version for discrete algorithms including problems pertaining to discussed algorithms.

Recent Algorithms and Applications in Swarm Intelligence Research

Shi, Yuhui
Recent Algorithms and Applications in Swarm Intelligence Research Book PDF

Author : Shi, Yuhui
Publisher : IGI Global
Page : 340 pages
File Size : 47,9 Mb
Release : 2012-11-30
Category : Computers
ISBN : 9781466624801

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Recent Algorithms and Applications in Swarm Intelligence Research by Shi, Yuhui Pdf

Advancements in the nature-inspired swarm intelligence algorithms continue to be useful in solving complicated problems in nonlinear, non-differentiable, and un-continuous functions as well as being applied to solve real-world applications. Recent Algorithms and Applications in Swarm Intelligence Research highlights the current research on swarm intelligence algorithms and its applications. Including research and survey and application papers, this book serves as a platform for students and scholars interested in achieving their studies on swarm intelligence algorithms and their applications.

Advances in Swarm Intelligence

Ying Tan,Yuhui Shi,Milan Tuba
Advances in Swarm Intelligence Book PDF

Author : Ying Tan,Yuhui Shi,Milan Tuba
Publisher : Springer Nature
Page : 689 pages
File Size : 50,6 Mb
Release : 2020-07-12
Category : Computers
ISBN : 9783030539566

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Advances in Swarm Intelligence by Ying Tan,Yuhui Shi,Milan Tuba Pdf

This book constitutes the proceedings of the 11th International Conference on Advances in Swarm Intelligence, ICSI 2020, held in July 2020 in Belgrade, Serbia. Due to the COVID-19 pandemic the conference was held virtually. The 63 papers included in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in 12 cohesive topical sections as follows: Swarm intelligence and nature-inspired computing; swarm-based computing algorithms for optimization; particle swarm optimization; ant colony optimization; brain storm optimization algorithm; bacterial foraging optimization; genetic algorithm and evolutionary computation; multi-objective optimization; machine learning; data mining; multi-agent system and robotic swarm, and other applications.

Neural Computing for Advanced Applications

Haijun Zhang,Zhao Zhang,Zhou Wu,Tianyong Hao
Neural Computing for Advanced Applications Book PDF

Author : Haijun Zhang,Zhao Zhang,Zhou Wu,Tianyong Hao
Publisher : Springer Nature
Page : 542 pages
File Size : 46,6 Mb
Release : 2020-08-12
Category : Computers
ISBN : 9789811576706

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Neural Computing for Advanced Applications by Haijun Zhang,Zhao Zhang,Zhou Wu,Tianyong Hao Pdf

This book presents refereed proceedings of the First International Conference on Neural Computing for Advanced Applications, NCAA 2020, held in July, 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full papers and 7 short papers were thorougly reviewed and selected from a total of 113 qualified submissions. The papers present resent research on such topics as neural network theory, and cognitive sciences, machine learning, data mining, data security & privacy protection, and data-driven applications, computational intelligence, nature-inspired optimizers, and their engineering applications, cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization, control systems, network synchronization, system integration, and industrial artificial intelligence, fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences, computer vision, image processing, and their industrial applications, and natural language processing, machine translation, knowledge graphs, and their applications.

Building a Second Brain

Tiago Forte
Building a Second Brain Book PDF

Author : Tiago Forte
Publisher : Simon and Schuster
Page : 272 pages
File Size : 49,6 Mb
Release : 2022-06-14
Category : Business & Economics
ISBN : 9781982167387

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Building a Second Brain by Tiago Forte Pdf

"Building a second brain is getting things done for the digital age. It's a ... productivity method for consuming, synthesizing, and remembering the vast amount of information we take in, allowing us to become more effective and creative and harness the unprecedented amount of technology we have at our disposal"--

Advances in Swarm Intelligence

Ying Tan,Yuhui Shi
Advances in Swarm Intelligence Book PDF

Author : Ying Tan,Yuhui Shi
Publisher : Springer Nature
Page : 586 pages
File Size : 52,7 Mb
Release : 2021-07-07
Category : Computers
ISBN : 9783030787431

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Advances in Swarm Intelligence by Ying Tan,Yuhui Shi Pdf

his two-volume set LNCS 12689-12690 constitutes the refereed proceedings of the 12th International Conference on Advances in Swarm Intelligence, ICSI 2021, held in Qingdao, China, in July 2021. The 104 full papers presented in this volume were carefully reviewed and selected from 177 submissions. They cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 419 pages
File Size : 41,7 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434248

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
Publisher : Newnes
Page : 450 pages
File Size : 45,9 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780124051775

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Swarm Intelligence and Bio-Inspired Computation by Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu Pdf

Swarm Intelligence and bio-inspired computation have become increasing popular in the last two decades. Bio-inspired algorithms such as ant colony algorithms, bat algorithms, bee algorithms, firefly algorithms, cuckoo search and particle swarm optimization have been applied in almost every area of science and engineering with a dramatic increase of number of relevant publications. This book reviews the latest developments in swarm intelligence and bio-inspired computation from both the theory and application side, providing a complete resource that analyzes and discusses the latest and future trends in research directions. It can help new researchers to carry out timely research and inspire readers to develop new algorithms. With its impressive breadth and depth, this book will be useful for advanced undergraduate students, PhD students and lecturers in computer science, engineering and science as well as researchers and engineers. Focuses on the introduction and analysis of key algorithms Includes case studies for real-world applications Contains a balance of theory and applications, so readers who are interested in either algorithm or applications will all benefit from this timely book.

Handbook of AI-based Metaheuristics

Anand J. Kulkarni,Patrick Siarry
Handbook of AI based Metaheuristics Book PDF

Author : Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 584 pages
File Size : 48,8 Mb
Release : 2021-09-01
Category : Computers
ISBN : 9781000434255

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Handbook of AI-based Metaheuristics by Anand J. Kulkarni,Patrick Siarry Pdf

At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Advances in Swarm Intelligence

Ying Tan,Yuhui Shi,Ben Niu
Advances in Swarm Intelligence Book PDF

Author : Ying Tan,Yuhui Shi,Ben Niu
Publisher : Springer
Page : 657 pages
File Size : 47,8 Mb
Release : 2016-09-05
Category : Computers
ISBN : 9783319410005

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Advances in Swarm Intelligence by Ying Tan,Yuhui Shi,Ben Niu Pdf

This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems.

Molecular Computing and Bioinformatics

Xiangxiang Zeng,Alfonso Rodríguez-Patón,Quan Zou
Molecular Computing and Bioinformatics Book PDF

Author : Xiangxiang Zeng,Alfonso Rodríguez-Patón,Quan Zou
Publisher : MDPI
Page : 390 pages
File Size : 46,6 Mb
Release : 2019-07-11
Category : Science
ISBN : 9783039211951

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Molecular Computing and Bioinformatics by Xiangxiang Zeng,Alfonso Rodríguez-Patón,Quan Zou Pdf

This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.