Swarm Intelligence and Bio Inspired Computation

Written By Xin-She Yang
Swarm Intelligence and Bio Inspired Computation
  • Publsiher : Newnes
  • Release : 16 May 2013
  • ISBN : 0124051774
  • Pages : 450 pages
  • Rating : 5/5 from 1 reviews
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Read or download book entitled Swarm Intelligence and Bio Inspired Computation written by Xin-She Yang which was release on 16 May 2013, this book published by Newnes. Available in PDF, EPUB and Kindle Format. Book excerpt: 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

Swarm Intelligence and Bio Inspired Computation
  • Author : Xin-She Yang,Zhihua Cui,Renbin Xiao,Amir Hossein Gandomi,Mehmet Karamanoglu
  • Publisher : Newnes
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Xin-She Yang,Mehmet Karamanoglu
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Priti Srinivas Sajja,Rajendra Akerkar
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 (...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Raha Imanirad,Julian Scott Yeomans
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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—...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Zhihua Cui,Xingjuan Cai
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Shichang Sun,Hongbo Liu
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Simon Fong
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : M.P. Saka,E. Doğan,Ibrahim Aydogdu
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Momin Jamil,Hans-Jürgen Zepernick
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Jonas Krause,Jelson Cordeiro,Rafael Stubs Parpinelli,Heitor Silvério Lopes
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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 ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Rodrigo Yuji Mizobe Nakamura,Luís Augusto Martins Pereira,Douglas Rodrigues,Kelton Augusto Pontara Costa,João Paulo Papa,Xin-She Yang
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions makes an exhaustive search infeasible. In this work, we propose a new nature-inspired feature selection technique based on ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Tamás Varga,András Király,János Abonyi
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : 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. ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Maximos A. Kaliakatsos-Papakostas,Andreas Floros,Michael N. Vrahatis
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : Automatic music composition has blossomed with the introduction of intelligent methodologies in computer science. Thereby, many methodologies for automatic music composition have been or could be described as “intelligent,” but what exactly is it that makes them intelligent? Furthermore, is there any categorization of intelligent music composition (IMC) methodologies that ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Sean Walton,Oubay Hassan,Kenneth Morgan,M. Rowan Brown
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : The cuckoo search is a relatively new gradient free optimization algorithm, which has been growing in popularity. The algorithm aims to replicate the particularly aggressive breeding behavior of cuckoos and it makes use of the Lévy flight, which is an efficient search pattern. In this chapter, the original development ...

Swarm Intelligence and Bio Inspired Computation

Swarm Intelligence and Bio Inspired Computation
  • Author : Amir Hossein Gandomi,Amir Hossein Alavi,Siamak Talatahari
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-05-16
  • Total pages : 450
  • ISBN : 0124051774
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Summary : A new metaheuristic optimization algorithm, called krill herd (KH), has been recently proposed by Gandomi and Alavi. In this study, KH is introduced for structural optimization. For more verification, KH is subsequently applied to three design problems reported in the literature. The performance of the KH algorithm is further compared ...