Swarm Evolutionary And Memetic Computing

Author : Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Pradipta Kumar Nanda
Publisher : Springer Science & Business Media
Page : 830 pages
File Size : 47,9 Mb
Release : 2012-12-16
Category : Computers
ISBN : 9783642353802

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Pradipta Kumar Nanda Pdf

This book constitutes the refereed proceedings of the Third International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2012, held in Bhubaneswar, India, in December 2012. The 96 revised full papers presented were carefully reviewed and selected from 310 initial submissions. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Springer
Page : 754 pages
File Size : 54,7 Mb
Release : 2011-12-15
Category : Computers
ISBN : 9783642271724

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

Author : Aleš Zamuda,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Bijaya Ketan Panigrahi
Publisher : Springer Nature
Page : 224 pages
File Size : 52,5 Mb
Release : 2020-01-02
Category : Computers
ISBN : 9783030378387

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Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing by Aleš Zamuda,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Bijaya Ketan Panigrahi Pdf

This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Shubhransu Sekhar Dash
Publisher : Springer
Page : 776 pages
File Size : 46,7 Mb
Release : 2013-12-13
Category : Computers
ISBN : 9783319037530

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Shubhransu Sekhar Dash Pdf

The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume set was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Author : Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Subhransu Sekhar Dash
Publisher : Springer
Page : 755 pages
File Size : 44,7 Mb
Release : 2010-12-06
Category : Computers
ISBN : 9783642175633

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Swagatam Das,Ponnuthurai Nagaratnam Suganthan,Subhransu Sekhar Dash Pdf

This LNCS volume contains the papers presented at the First Swarm, Evolutionary and Memetic Computing Conference (SEMCCO 2010) held during December 16–– 18, 2010 at SRM University, Chennai, in India. SEMCCO 2010 marked the beginning of a prestigious international conference series that aims at bringing together researchers from academia and industry to report and review the latest progress in the cutting-edge research on swarm, evolutionary, and memetic computing, to explore new application areas, to design new bio-inspired algorithms for solving specific hard optimization problems, and finally to create awareness on these domains to a wider audience of practitioners. SEMCCO 2010 received 225 paper submissions from 20 countries across the globe. After a rigorous peer-review process involving 610 reviews in total, 90 fu- length articles were accepted for oral presentation at the conference. This corresponds to an acceptance rate of 40% and is intended for maintaining the high standards of the conference proceedings. The papers included in this LNCS volume cover a wide range of topics in swarm, evolutionary, and memetic computing algorithms and their real-world applications in problems selected from diverse domains of science and engineering.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Unknown
Page : 128 pages
File Size : 52,8 Mb
Release : 2024-06-03
Category : Electronic
ISBN : OCLC:769020699

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Swarm, evolutionary, and memetic computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das
Publisher : Springer
Page : 881 pages
File Size : 42,7 Mb
Release : 2015-07-31
Category : Computers
ISBN : 9783319202945

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das Pdf

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014. The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Springer
Page : 288 pages
File Size : 49,7 Mb
Release : 2016-11-30
Category : Computers
ISBN : 9783319489599

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

This volume constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2015, held in Hyderabad, India, in December 2015. The 23 full papers presented in this volume were carefully reviewed and selected from 40 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Author : Bijata Ketan Panigraphi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy
Publisher : Springer
Page : 332 pages
File Size : 55,6 Mb
Release : 2011-12-14
Category : Computers
ISBN : 9783642272424

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Swarm, Evolutionary, and Memetic Computing, Part II by Bijata Ketan Panigraphi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Suresh Chandra Satapathy Pdf

These two volumes, LNCS 7076 and LNCS 7077, constitute the refereed proceedings of the Second International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2011, held in Visakhapatnam, India, in December 2011. The 124 revised full papers presented in both volumes were carefully reviewed and selected from 422 submissions. The papers explore new application areas, feature new bio-inspired algorithms for solving specific hard optimization problems, and review the latest progresses in the cutting-edge research with swarm, evolutionary, and memetic computing in both theoretical and practical aspects.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Shubhransu Sekhar Dash
Publisher : Springer
Page : 672 pages
File Size : 50,7 Mb
Release : 2013-12-12
Category : Computers
ISBN : 9783319037561

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Shubhransu Sekhar Dash Pdf

The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das
Publisher : Unknown
Page : 128 pages
File Size : 45,5 Mb
Release : 2015
Category : Electronic
ISBN : 3319202952

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Swarm, Evolutionary, and Memetic Computing by Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das Pdf

This volume constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2014, held in Bhubaneswar, India, in December 2014. The total of 96 papers presented in this volume was carefully reviewed and selected from 250 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Author : Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal
Publisher : Springer
Page : 190 pages
File Size : 47,8 Mb
Release : 2018-06-06
Category : Technology & Engineering
ISBN : 9783319913414

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Evolutionary and Swarm Intelligence Algorithms by Jagdish Chand Bansal,Pramod Kumar Singh,Nikhil R. Pal Pdf

This book is a delight for academics, researchers and professionals working in evolutionary and swarm computing, computational intelligence, machine learning and engineering design, as well as search and optimization in general. It provides an introduction to the design and development of a number of popular and recent swarm and evolutionary algorithms with a focus on their applications in engineering problems in diverse domains. The topics discussed include particle swarm optimization, the artificial bee colony algorithm, Spider Monkey optimization algorithm, genetic algorithms, constrained multi-objective evolutionary algorithms, genetic programming, and evolutionary fuzzy systems. A friendly and informative treatment of the topics makes this book an ideal reference for beginners and those with experience alike.

Author : Xin-She Yang
Publisher : Springer
Page : 300 pages
File Size : 41,6 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.

Author : Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada
Publisher : Springer
Page : 440 pages
File Size : 50,7 Mb
Release : 2012-04-15
Category : Computers
ISBN : 9783642293535

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Swarm and Evolutionary computation by Leszek Rutkowski,Marcin Korytkowski,Rafał Scherer,Ryszard Tadeusiewicz,Lotfi Zadeh,Jacek Zurada Pdf

The volume LNCS 7269 constitutes the refereed proceedings of the International Symposium on Swarm Intelligence and Differential Evolution, SIDE 2012, held in Zakopane, Poland, in April/May 2012 in conjunction with the 11th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2012 (proceedings published as two-volume set LNAI 7267 and 7268). The 212 revised full papers presented were carefully reviewed and selected from 483 submissions. The volume is divided into two topical parts: proceedings of the 2012 symposium on swarm intelligence and differential evolution and on evolutionary algorithms and their applications.

Author : Kyle Robert Harrison,Saber Elsayed,Ivan Leonidovich Garanovich,Terence Weir,Sharon G. Boswell,Ruhul Amin Sarker
Publisher : Springer Nature
Page : 218 pages
File Size : 41,8 Mb
Release : 2021-11-13
Category : Technology & Engineering
ISBN : 9783030883157

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Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling by Kyle Robert Harrison,Saber Elsayed,Ivan Leonidovich Garanovich,Terence Weir,Sharon G. Boswell,Ruhul Amin Sarker Pdf

This book consists of eight chapters, authored by distinguished researchers and practitioners, that highlight the state of the art and recent trends in addressing the project portfolio selection and scheduling problem (PPSSP) across a variety of domains, particularly defense, social programs, supply chains, and finance. Many organizations face the challenge of selecting and scheduling a subset of available projects subject to various resource and operational constraints. In the simplest scenario, the primary objective for an organization is to maximize the value added through funding and implementing a portfolio of projects, subject to the available budget. However, there are other major difficulties that are often associated with this problem such as qualitative project benefits, multiple conflicting objectives, complex project interdependencies, workforce and manufacturing constraints, and deep uncertainty regarding project costs, benefits, and completion times. It is well known that the PPSSP is an NP-hard problem and, thus, there is no known polynomial-time algorithm for this problem. Despite the complexity associated with solving the PPSSP, many traditional approaches to this problem make use of exact solvers. While exact solvers provide definitive optimal solutions, they quickly become prohibitively expensive in terms of computation time when the problem size is increased. In contrast, evolutionary and memetic computing afford the capability for autonomous heuristic approaches and expert knowledge to be combined and thereby provide an efficient means for high-quality approximation solutions to be attained. As such, these approaches can provide near real-time decision support information for portfolio design that can be used to augment and improve existing human-centric strategic decision-making processes. This edited book provides the reader with a broad overview of the PPSSP, its associated challenges, and approaches to addressing the problem using evolutionary and memetic computing.