Swarm Intelligence And Bio Inspired Computation

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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 : 55,9 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.

Swarm Intelligence and Bio-Inspired Computation

Xin-She Yang,Mehmet Karamanoglu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Xin-She Yang,Mehmet Karamanoglu
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 42,8 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068878

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Swarm Intelligence and Bio-Inspired Computation by Xin-She Yang,Mehmet Karamanoglu Pdf

Swarm intelligence (SI) and bio-inspired computing in general have attracted great interest in almost every area of science, engineering, and industry over the last two decades. In this chapter, we provide an overview of some of the most widely used bio-inspired algorithms, especially those based on SI such as cuckoo search, firefly algorithm, and particle swarm optimization. We also analyze the essence of algorithms and their connections to self-organization. Furthermore, we highlight the main challenging issues associated with these metaheuristic algorithms with in-depth discussions. Finally, we provide some key, open problems that need to be addressed in the next decade.

Swarm Intelligence and Bio-Inspired Computation

M.P. Saka,E. Doğan,Ibrahim Aydogdu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : M.P. Saka,E. Doğan,Ibrahim Aydogdu
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 44,9 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068885

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Swarm Intelligence and Bio-Inspired Computation by M.P. Saka,E. Doğan,Ibrahim Aydogdu Pdf

Swarm intelligence refers to collective intelligence. Biologists and natural scientist have been studying the behavior of social insects due to their efficiency of solving complex problems such as finding the shortest path between their nest and food source or organizing their nests. In spite of the fact that these insects are unsophisticated individually, they make wonders as a swarm by interaction with each other and their environment. In last two decades, the behaviors of various swarms that are used in finding preys or mating are simulated into a numerical optimization technique. In this chapter, eight different swarm intelligence–based algorithms are summarized and their working steps are listed. These techniques are ant colony optimizer, particle swarm optimizer, artificial bee colony algorithm, glowworm algorithm, firefly algorithm, cuckoo search algorithm, bat algorithm, and hunting search algorithm. Two optimization problems taken from the literature are solved by all these eight algorithms and their performance are compared. It is noticed that most of the swarm intelligence–based algorithms are simple and robust techniques that determine the optimum solution of optimization problems efficiently without requiring much of a mathematical struggling.

Swarm Intelligence and Bio-Inspired Computation

Priti Srinivas Sajja,Rajendra Akerkar
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Priti Srinivas Sajja,Rajendra Akerkar
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 53,8 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068984

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Swarm Intelligence and Bio-Inspired Computation by Priti Srinivas Sajja,Rajendra Akerkar Pdf

Bio-inspired models have taken inspiration from the nature to solve challenging problems in an intelligent manner. Major aims of such bio-inspired models of computation are to propose new unconventional computing architectures and novel problem solving paradigms. Computing models such as artificial neural network (ANN), genetic algorithm (GA), and swarm intelligence (SI) are major constituent models of the bio-inspired approach. Applications of these models are ubiquitous and hence proposed to be applied for Semantic Web. The chapter discusses fundamentals of these bio-inspired constituents along with some heuristic that can be used to design and implement these constituents and briefly surveys recent applications of these models for the Semantic Web. The study shows that the objective of the Semantic Web is better met with such approach and the Web can be accessed in more human-oriented way. At the end, a generic framework for web content filtering based on neuro-fuzzy approach is presented. By considering online webpages and fuzzy user profile, the proposed system classifies the webpages into vague categories using a neural network.

Swarm Intelligence and Bio-Inspired Computation

Raha Imanirad,Julian Scott Yeomans
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Raha Imanirad,Julian Scott Yeomans
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 53,6 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128069004

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Swarm Intelligence and Bio-Inspired Computation by Raha Imanirad,Julian Scott Yeomans Pdf

In solving many practical mathematical programming applications, it is generally preferable to formulate several quantifiably good alternatives that provide very different approaches to the particular problem. This is because decision-making typically involves complex problems that are riddled with incompatible performance objectives and possess competing design requirements which are very difficult—if not impossible—to quantify and capture at the time that the supporting decision models are constructed. There are invariably unmodeled design issues, not apparent at the time of model construction, which can greatly impact the acceptability of the model’s solutions. Consequently, it is preferable to generate several alternatives that provide multiple, disparate perspectives to the problem. These alternatives should possess near-optimal objective measures with respect to all known modeled objective(s) but be fundamentally different from each other in terms of the system structures characterized by their decision variables. This solution approach is referred to as modeling-to-generate-alternatives (MGA). This chapter provides a synopsis of various MGA techniques and demonstrates how biologically inspired MGA algorithms are particularly efficient at creating multiple solution alternatives that both satisfy required system performance criteria and yet are maximally different in their decision spaces. The efficacy and efficiency of these MGA methods are demonstrated using a number of case studies.

Swarm Intelligence and Bio-Inspired Computation

Simon Fong
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Simon Fong
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 45,7 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128069042

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Swarm Intelligence and Bio-Inspired Computation by Simon Fong Pdf

Data mining has evolved from methods of simple statistical analysis to complex pattern recognition in the past decades. During the progression, the data mining algorithms are modified or extended in order to overcome some specific problems. This chapter discusses about the prospects of improving data mining algorithms by integrating bio-inspired optimization, which has lately captivated much of researchers’ attention. In particular, high dimensionality and the unavailability of the whole data set (as in stream mining) in the training data have known to be two major challenges. We demonstrated that these two challenges, through two small examples such as K-means clustering and time-series classification, can be overcome by integrating data mining and bio-inspired algorithms.

Swarm Intelligence and Bio-Inspired Computation

Shichang Sun,Hongbo Liu
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Shichang Sun,Hongbo Liu
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 48,7 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068922

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Swarm Intelligence and Bio-Inspired Computation by Shichang Sun,Hongbo Liu Pdf

In this chapter, we present the convergence analysis and applications of particle swarm optimization algorithm. Although it is difficult to analyze the convergence of this algorithm, we discuss its convergence based on its iterated function system and probabilistic theory. The dynamic trajectory of the particle is described based on single individual. We also attempt to theoretically prove that the swarm algorithm converges with a probability of 1 toward the global optimal. We apply the algorithms to solve the scheduling problem and peer-to-peer neighbor selection problem. This chapter is also concerned to employ the nature-inspired optimization methods in machine learning. We introduce the swarm algorithm to reoptimize hidden Markov models.

Swarm Intelligence and Bio-Inspired Computation

Zhihua Cui,Xingjuan Cai
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Zhihua Cui,Xingjuan Cai
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 48,6 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128069028

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Swarm Intelligence and Bio-Inspired Computation by Zhihua Cui,Xingjuan Cai Pdf

Artificial plant optimization algorithm (APOA) is a novel evolutionary strategy inspired by tree’s growing process. In this chapter, the methodologies of prototypal APOA and its updated version are illustrated. First, the primary framework is introduced by accounting for photosynthesis and phototropism phenomena. Since some important factors are ignored during mimicking branch’s growing, the optimization is sometimes misleading and time-consuming. Therefore, the standard version is developed by adding geotropism mechanism and apical dominance operator. The quality of the proposed technique is verified by two applications on artificial neural network training and toy model of protein folding. Simulation results are consistent with reported numerical data, indicating that the new optimization approach is valid and shows broad application in other fields.

Swarm Intelligence and Bio-Inspired Computation

Momin Jamil,Xin-She Yang,Hans-Jürgen Zepernick
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Momin Jamil,Xin-She Yang,Hans-Jürgen Zepernick
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 44,5 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068946

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Swarm Intelligence and Bio-Inspired Computation by Momin Jamil,Xin-She Yang,Hans-Jürgen Zepernick Pdf

Test functions are important to validate and compare the performance of various optimization algorithms. In previous years, there have been many test or benchmark functions reported in the literature. However, there is no standard list or set of benchmark functions with diverse properties that algorithms may be tested upon. On the other hand, any new optimization algorithm should be tested by a diverse range of test or benchmark functions so as to see if it can solve certain types of problems or not. For this purpose, we compile here 140 benchmark functions for unconstrained optimization problems.

Nature-Inspired Computation and Swarm Intelligence

Xin-She Yang
Nature Inspired Computation and Swarm Intelligence Book PDF

Author : Xin-She Yang
Publisher : Academic Press
Page : 442 pages
File Size : 48,7 Mb
Release : 2020-04-24
Category : Computers
ISBN : 9780128197141

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Nature-Inspired Computation and Swarm Intelligence by Xin-She Yang Pdf

Nature-inspired computation and swarm intelligence have become popular and effective tools for solving problems in optimization, computational intelligence, soft computing and data science. Recently, the literature in the field has expanded rapidly, with new algorithms and applications emerging. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is a timely reference giving a comprehensive review of relevant state-of-the-art developments in algorithms, theory and applications of nature-inspired algorithms and swarm intelligence. It reviews and documents the new developments, focusing on nature-inspired algorithms and their theoretical analysis, as well as providing a guide to their implementation. The book includes case studies of diverse real-world applications, balancing explanation of the theory with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for researchers and graduate students in computer science, engineering, data science, and management science, who want a comprehensive review of algorithms, theory and implementation within the fields of nature inspired computation and swarm intelligence. Introduces nature-inspired algorithms and their fundamentals, including: particle swarm optimization, bat algorithm, cuckoo search, firefly algorithm, flower pollination algorithm, differential evolution and genetic algorithms as well as multi-objective optimization algorithms and others Provides a theoretical foundation and analyses of algorithms, including: statistical theory and Markov chain theory on the convergence and stability of algorithms, dynamical system theory, benchmarking of optimization, no-free-lunch theorems, and a generalized mathematical framework Includes a diversity of case studies of real-world applications: feature selection, clustering and classification, tuning of restricted Boltzmann machines, travelling salesman problem, classification of white blood cells, music generation by artificial intelligence, swarm robots, neural networks, engineering designs and others

Swarm Intelligence and Bio-Inspired Computation

Momin Jamil,Hans-Jürgen Zepernick
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Momin Jamil,Hans-Jürgen Zepernick
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 44,8 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068892

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Swarm Intelligence and Bio-Inspired Computation by Momin Jamil,Hans-Jürgen Zepernick Pdf

Random walks play an important and central role in metaheuristic and stochastic optimization algorithms. The two key components of the search process in metaheuristic algorithms (MAs) are intensification and diversification. The overall efficiency of a metaheuristic optimization algorithm depends on a sound balance between these two components. In MAs, exploration is achieved by randomization in combination with a deterministic procedure. In this way, the newly generated solutions are distributed as diversely as possible in the problem search space. In most of the MAs, randomization is realized using a uniform or Gaussian distribution. However, this is not the only way to achieve randomization. In recent years, the use of Lévy distribution has emerged as an alternative to uniform or Gaussian distributions. In view of these details, this chapter focuses on using Lévy flights (LFs) in the context of global optimization. A survey of the most important MAs using LFs to achieve intensification and diversification for solving global optimization problems is presented. The different components and concepts of Lévy-flight-based MAs are discussed and their similarities and differences are analyzed.

Recent Advances in Swarm Intelligence and Evolutionary Computation

Xin-She Yang
Recent Advances in Swarm Intelligence and Evolutionary Computation Book PDF

Author : Xin-She Yang
Publisher : Springer
Page : 295 pages
File Size : 44,6 Mb
Release : 2014-12-27
Category : Technology & Engineering
ISBN : 9783319138268

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Recent Advances in Swarm Intelligence and Evolutionary Computation by Xin-She Yang Pdf

This timely review volume summarizes the state-of-the-art developments in nature-inspired algorithms and applications with the emphasis on swarm intelligence and bio-inspired computation. Topics include the analysis and overview of swarm intelligence and evolutionary computation, hybrid metaheuristic algorithms, bat algorithm, discrete cuckoo search, firefly algorithm, particle swarm optimization, and harmony search as well as convergent hybridization. Application case studies have focused on the dehydration of fruits and vegetables by the firefly algorithm and goal programming, feature selection by the binary flower pollination algorithm, job shop scheduling, single row facility layout optimization, training of feed-forward neural networks, damage and stiffness identification, synthesis of cross-ambiguity functions by the bat algorithm, web document clustering, truss analysis, water distribution networks, sustainable building designs and others. As a timely review, this book can serve as an ideal reference for graduates, lecturers, engineers and researchers in computer science, evolutionary computing, artificial intelligence, machine learning, computational intelligence, data mining, engineering optimization and designs.

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 : 51,7 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.

Swarm Intelligence and Bio-Inspired Computation

Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 40,9 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128068939

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Swarm Intelligence and Bio-Inspired Computation by Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes Pdf

Most swarm intelligence algorithms were devised for continuous optimization problems. However, they have been adapted for discrete optimization as well with applications in different domains. This survey aims at providing an updated review of research of swarm intelligence algorithms for discrete optimization problems, comprising combinatorial or binary. The biological inspiration that motivated the creation of each swarm algorithm is introduced, and later, the discretization and encoding methods are used to adapt each algorithm for discrete problems. Methods are compared for different classes of problems and a critical analysis is provided, pointing to future trends.

Swarm Intelligence and Bio-Inspired Computation

Tamás Varga,András Király,János Abonyi
Swarm Intelligence and Bio Inspired Computation Book PDF

Author : Tamás Varga,András Király,János Abonyi
Publisher : Elsevier Inc. Chapters
Page : 450 pages
File Size : 43,5 Mb
Release : 2013-05-16
Category : Computers
ISBN : 9780128069059

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Swarm Intelligence and Bio-Inspired Computation by Tamás Varga,András Király,János Abonyi Pdf

Advanced inventory management in complex supply chains requires effective and robust nonlinear optimization due to the stochastic nature of supply and demand variations. Application of estimated gradients can boost up the convergence of Particle Swarm Optimization (PSO) algorithm but classical gradient calculation cannot be applied to stochastic and uncertain systems. In these situations Monte-Carlo (MC) simulation can be applied to determine the gradient. We developed a memory-based algorithm where instead of generating and evaluating new simulated samples the stored and shared former function evaluations of the particles are sampled to estimate the gradients by local weighted least squares regression. The performance of the resulted regional gradient-based PSO is verified by several benchmark problems and in a complex application example where optimal reorder points of a supply chain are determined.