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Applications of Evolutionary Computing 1

丛书名： Lecture Notes in computer science

1000年

作者： Mario Giacobini Anthony Brabazon Stefano Cagnoni Gianni A. Caro Anikó Ekárt Anna Isabel Esparcia-Alcázar Muddassar Farooq Andreas Fink Penousal Machado

ISBN: (数字)9783642011290

ISBN: (纸本)9783642011283

The year 2009 celebrates the bicentenary of Darwin’s birth and the 150th - niversary of the publication of his seminal work, On the Origin of *** this makes 2009 a special year for the research community working in biology and evolution, the ?eld of evolutionary computation (EC) also shares the same excitement. EC techniques are e?cient, nature-inspired planning and optimi- tion methods based on the principles of natural evolution and genetics. Due to their e?ciency and simple underlying principles, these methods can be used in the context of problem solving, optimization, and machine learning. A large and ever-increasing number of researchers and professionals make use of EC te- niques in various application domains. ThisvolumepresentsacarefulselectionofrelevantECapplicationscombined with a thorough examination of the techniques used in EC. The papers in the volume illustrate the current state of the art in the application of EC and can help and inspire researchers and professionals to develop e?cient EC methods for design and problem solving.

关键词： Programming Techniques computer Communication networks Theory of Computation Computation by Abstract Devices computer Hardware Math Applications in computer science

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Progress in Robotics 1

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丛书名： Communications in computer and Information science

1000年

作者： Jong-Hwan Kim Shuzhi Sam Ge Prahlad Vadakkepat Abdullah Al Manum Ryohei Nakatsu Norbert Jesse Sadasivan Puthusserypady K Ulrich Rückert Joaquin Sitte Ulf Witkowski Thomas Braunl Jacky Baltes John Anderson Ching-Chang Wong Igor Verner David Ahlgren

ISBN: (数字)9783642039867

ISBN: (纸本)9783642039850

th This volume is an edition of the papers selected from the 12 FIRA RoboWorld C- gress, held in Incheon, Korea, August 16–18, 2009. The Federation of International Robosoccer Association (FIRA – www. fira. net) is a non-profit organization, which organizes robotic competitions and meetings around the globe annually. The RoboSoccer competitions started in 1996 and FIRA was - tablished on June 5, 1997. The Robot Soccer competitions are aimed at promoting the spirit of science and technology to the younger generation. The congress is a forum in which to share ideas and future directions of technologies, and to enlarge the human networks in robotics area. The objectives of the FIRA Cup and Congress are to explore the technical dev- opment and achievement in the field of robotics, and provide participants with a robot festival including technical presentations, robot soccer competitions and exhibits - der the theme “Where Theory and Practice Meet. ” th Under the umbrella of the 12 FIRA RoboWorld Incheon Congress 2009, six int- national conferences were held for greater impact and scientific exchange: th • 6 International Conference on Computational Intelligence, Robotics and Autonomous systems (CIRAS) th • 5 International Symposium on Autonomous Minirobots for Research and Edutainment (AMiRE) • International Conference on Social Robotics (ICSR) • International Conference on Advanced Humanoid Robotics Research (ICAHRR) • International Conference on Entertainment Robotics (ICER) • International Robotics Education Forum (IREF) This volume consists of selected quality papers from the six conferences.

关键词： Robotics and Automation Artificial Intelligence User Interfaces and Human computer Interaction computers and Society computers and Education Personal Computing

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Smart Grid Inspired Future Technologies 1

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丛书名： Lecture Notes of the Institute for computer sciences, Social Informatics and Telecommunications Engineering

1000年

作者： Jia Hu Victor C. M. Leung Kun Yang Yan Zhang Jianliang Gao Shusen Yang

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Applications of Evolutionary Computation 1

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丛书名： Lecture Notes in computer science

1000年

作者： Cecilia Chio Alexandros Agapitos Stefano Cagnoni Carlos Cotta Francisco Fernández Vega Gianni A. Caro Rolf Drechsler Anikó Ekárt Anna I. Esparcia-Alcázar Muddassar Farooq William B. Langdon Juan J. Merelo-Guervós Mike Preuss Hendrik Richter Sara Silva Anabela Simões Giovanni Squillero Ernesto Tarantino Andrea G. B. Tettamanzi Julian Togelius Neil Urquhart A. Şima Uyar Georgios N. Yannakakis

ISBN: (数字)9783642291784

ISBN: (纸本)9783642291777

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2012, held in Málaga, Spain, in April 2012, colocated with the Evo* 2012 events EuroGP, EvoCOP, EvoBIO, and EvoMUSART. The 54 revised full papers presented were carefully reviewed and selected from 90 submissions. EvoApplications 2012 consisted of the following 11 tracks: EvoCOMNET (nature-inspired techniques for telecommunication networks and other parrallel and distributed systems), EvoCOMPLEX (algorithms and complex systems), EvoFIN (evolutionary and natural computation in finance and economics), EvoGAMES (bio-inspired algorithms in games), EvoHOT (bio-inspired heuristics for design automation), EvoIASP (evolutionary computation in image analysis and signal processing), EvoNUM (bio-inspired algorithms for continuous parameter optimization), EvoPAR (parallel implementation of evolutionary algorithms), EvoRISK (computational intelligence for risk management, security and defense applications), EvoSTIM (nature-inspired techniques in scheduling, planning, and timetabling), and EvoSTOC (evolutionary algorithms in stochastic and dynamic environments).

关键词： Computation by Abstract Devices Programming Techniques computer Communication networks Math Applications in computer science Image Processing and computer Vision Artificial Intelligence

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Foundations of Computational, Intelligence Volume 1 1

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丛书名： Studies in Computational Intelligence

1000年

作者： Aboul-Ella Hassanien Ajith Abraham Athanasios V. Vasilakos Witold Pedrycz

ISBN: (数字)9783642010828

ISBN: (纸本)9783642010811;9783662568439

Foundations of Computational Intelligence Volume 1: Learning and Approximation: Theoretical Foundations and Applications Learning methods and approximation algorithms are fundamental tools that deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems have a large number of applications arising from a variety of fields, such as algorithmic game theory, approximation classes, coloring and partitioning, competitive analysis, computational finance, cuts and connectivity, inapproximability results, mechanism design, network design, packing and covering, paradigms for design and analysis of approxi- tion and online algorithms, randomization techniques, real-world applications, scheduling problems and so on. The past years have witnessed a large number of interesting applications using various techniques of Computational Intelligence such as rough sets, connectionist learning; fuzzy logic; evolutionary computing; artificial immune systems; swarm intelligence; reinforcement learning, intelligent multimedia processing etc. . In spite of numerous successful applications of C- putational Intelligence in business and industry, it is sometimes difficult to explain the performance of these techniques and algorithms from a theoretical perspective. Therefore, we encouraged authors to present original ideas dealing with the inc- poration of different mechanisms of Computational Intelligent dealing with Lea- ing and Approximation algorithms and underlying processes. This edited volume comprises 15 chapters, including an overview chapter, which provides an up-to-date and state-of-the art research on the application of Computational Intelligence for learning and approximation.

关键词： Artificial Intelligence Mathematical and Computational Engineering

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Foundations of Computational, IntelligenceVolume 6 1

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丛书名： Studies in Computational Intelligence

1000年

作者： Ajith Abraham Aboul-Ella Hassanien André Ponce Leon F. de Carvalho Václav Snášel

ISBN: (数字)9783642010910

ISBN: (纸本)9783642010903;9783642101670

Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

关键词： Mathematical and Computational Engineering Artificial Intelligence

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Predictive Modeling for Arabic Fake News Detection: Leveraging Language Model Embeddings and Stacked Ensemble

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ACM Transactions on Asian and Low-Resource Language Information Processing 1000年

作者： Muhammad Umer Arwa A. Jamjoom Shtwai Alsubai Aisha Ahmed AlArfaj Ebtisam Abdullah Alabdulqader Imran Ashraf Computer Science The Islamia University of Bahawalpur Pakistan Sadiqabad Pakistan Department of Information System Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Department of Computer Science College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Al Kharj Saudi Arabia Princess Noura Bint AbdulRahman University Riyadh Saudi Arabia Department of Information Technology College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia Information and Communication Engineering Yeungnam University College of Engineering Gyeongsan Korea (the Republic of)

The proliferation of fake news poses a substantial threat to information integrity, prompting the need for robust detection mechanisms. This study advances the research on Arabic fake news detection and overcomes the limitation of lower accuracy for fake news detection. This research addresses Arabic fake news detection using word embedding and a powerful stacking classifier. The proposed model combines bagging, boosting, and baseline classifiers, harnessing the strengths of each to create a robust ensemble. Extensive experiments are carried out to evaluate the proposed approach indicating remarkable results, with recall, F1 score, accuracy, and precision reaching 99%. The utilization of advanced stacking techniques, coupled with appropriate textual feature extraction, empowers the model to effectively detect Arabic fake news. Study results make a valuable contribution to fake news detection, particularly in the Arabic context, providing a valuable tool for enhancing information veracity and fostering a more informed public discourse. Furthermore, the proposed model’s accuracy is compared with other cutting-edge models from the existing literature to showcase its superior performance.

关键词： Arabic fake news text mining ensemble learning word embedding

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Applications of Evolutionary Computation 1

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丛书名： Lecture Notes in computer science

1000年

作者： Cecilia Chio Anthony Brabazon Gianni A. Caro Rolf Drechsler Muddassar Farooq Jörn Grahl Gary Greenfield Christian Prins Juan Romero Giovanni Squillero Ernesto Tarantino Andrea G. B. Tettamanzi Neil Urquhart A. Şima Uyar

ISBN: (数字)9783642205200

ISBN: (纸本)9783642205194

This book constitutes the refereed proceedings of the International Conference on the Applications of Evolutionary Computation, EvoApplications 2011, held in Torino, Italy, in April 2011 colocated with the Evo* 2011 events. Thanks to the large number of submissions received, the proceedings for EvoApplications 2011 are divided across two volumes (LNCS 6624 and 6625). The present volume contains contributions for EvoCOMNET, EvoFIN, EvoIHOT, EvoMUSART, EvoSTIM, and EvoTRANSLOC. The 51 revised full papers presented were carefully reviewed and selected from numerous submissions. This volume presents an overview about the latest research in EC. Areas where evolutionary computation techniques have been applied range from telecommunication networks to complex systems, finance and economics, games, image analysis, evolutionary music and art, parameter optimization, scheduling, and logistics. These papers may provide guidelines to help new researchers tackling their own problem using EC.

关键词： Computation by Abstract Devices Programming Techniques computer Communication networks Math Applications in computer science Image Processing and computer Vision Artificial Intelligence

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VoI-based Situation-Aware Routing Protocol for Non-linear Underwater Communication networks

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ACM Transactions on Autonomous and Adaptive systems 1000年

作者： Kiran Saleem Lei Wang Rana Zeeshan Ahmed Thippa Reddy Gadekallu Ahmad Almadhor Yang Li School of Software Dalian University of Technology China Department of Information Technology University of Sialkot Pakistan The College of Mathematics and Computer Science Zhejiang A&F University Hangzhou China Division of Research and Development Lovely Professional University India Center of Research Impact and Outcome Chitkara University India Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia College of Mechanical and Electrical Engineering Shihezi University China

One of the main challenges for underwater applications, such as environmental monitoring and disaster management, is achieving efficient data transmission in environments where conditions change rapidly, and resources need for data transport are scarce. The capability of evaluating the Value of information (VoI) enables us to assess these problems by proposing a Value of Information-based Situation-Aware Non-Linear Routing (VoI SANLR/VoI SANL) method. It aims to deal with critical event scenarios using BDI (Belief-Desire-Intention) logic criteria and prioritizing the timely uploading of data-driven information towards the destination. SANLR of VoI is developed to reduce energy consumption, end-to-end latency, jitter, and improve Packet Delivery Ratio (PDR) in underwater communication networks. VoI SANLR introduces principles of priority-based methods and intends to address challenges in terms of underwater environment such as varying channel conditions, lack energy resources, and real-time decision requirements by using SANLR. Energy optimization analysis reveals consistent outperformance, achieving a remarkable 95% reduction in energy consumption compared to other techniques. Low latency is maintained, ranging from 2.5 to 0.5 seconds, showcasing enhanced efficiency and scalability. VoI SANLR demonstrates exceptional performance in both throughput and jitter. It achieves the highest data transfer rates, ranging from 100 kbps to 110 kbps, indicating outstanding efficiency. Additionally, the jitter remains consistently low, between 1.8 ms and 2 ms, ensuring minimal delay variability and improved communication stability. PDR consistently surpasses other techniques, reaching a maximum of 99%. Additionally, network lifetime analysis demonstrates VoI SANLR's superiority, exhibiting the highest network lifetime at each node and a significant 31.25% improvement at Node 100 compared to other methods.

关键词： Situation-awareness underwater communication network intelligent decision support system multi-agent system emergent situation non-linear environment

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Transfer Learning-based Forensic Analysis and Classification of E-Mail Content

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ACM Transactions on Asian and Low-Resource Language Information Processing 1000年

作者： Farkhund Iqbal Abdul Rehman Javed Rutvij H. Jhaveri Ahmad Almadhor Umar Farooq College of Technological Innovation Zayed University UAE Department of Electrical and Computer Engineering Lebanese American University Lebanon Department of Computer Science and Engineering School of Technology Pandit Deendayal Energy University India Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia Department of Computer Science National University of Computer and Emerging Sciences Pakistan

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