Proceedings of Second Doctoral Symposium on Computational Intelligence

Proceedings of Second Doctoral Symposium on Computational Intelligence
Author: Deepak Gupta
Publisher: Springer Nature
Total Pages: 902
Release: 2021-09-19
Genre: Technology & Engineering
ISBN: 9811633460

This book features high-quality research papers presented at Second Doctoral Symposium on Computational Intelligence (DoSCI-2021), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on 6 March 2021. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making.

Proceedings of Third Doctoral Symposium on Computational Intelligence

Proceedings of Third Doctoral Symposium on Computational Intelligence
Author: Ashish Khanna
Publisher: Springer Nature
Total Pages: 856
Release: 2022-11-09
Genre: Technology & Engineering
ISBN: 9811931488

This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.

Proceedings of Fourth Doctoral Symposium on Computational Intelligence

Proceedings of Fourth Doctoral Symposium on Computational Intelligence
Author: Abhishek Swaroop
Publisher: Springer Nature
Total Pages: 937
Release: 2023-09-16
Genre: Technology & Engineering
ISBN: 9819937167

This book features high-quality research papers presented at Fourth Doctoral Symposium on Computational Intelligence (DoSCI 2023), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 3, 2023. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making

Artificial Intelligence Doctoral Symposium

Artificial Intelligence Doctoral Symposium
Author: Habiba Drias
Publisher: Springer Nature
Total Pages: 312
Release: 2023-08-20
Genre: Computers
ISBN: 9819944848

This volume constitutes selected papers presented during the 5th Artificial Intelligence Doctoral Symposium, AID 2022, held in Algiers, Algeria, in September 2022. The 22 presented full papers were thoroughly reviewed and selected from the 38 qualified submissions. They are organized in the following topical sections: data mining; metaheuristics and swarm intelligence; computer vision; Artificial Intelligence applications; machine and deep learning; NLP and text mining.

Proceedings of International Joint Conference on Advances in Computational Intelligence

Proceedings of International Joint Conference on Advances in Computational Intelligence
Author: Mohammad Shorif Uddin
Publisher: Springer Nature
Total Pages: 633
Release: 2022-05-18
Genre: Technology & Engineering
ISBN: 9811903328

This book gathers outstanding research papers presented at the 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), held online during October 23–24, 2021. IJCACI 2021 is jointly organized by Jahangirnagar University (JU), Bangladesh, and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.

Experimental Methods for the Analysis of Optimization Algorithms

Experimental Methods for the Analysis of Optimization Algorithms
Author: Thomas Bartz-Beielstein
Publisher: Springer Science & Business Media
Total Pages: 469
Release: 2010-11-02
Genre: Computers
ISBN: 3642025382

In operations research and computer science it is common practice to evaluate the performance of optimization algorithms on the basis of computational results, and the experimental approach should follow accepted principles that guarantee the reliability and reproducibility of results. However, computational experiments differ from those in other sciences, and the last decade has seen considerable methodological research devoted to understanding the particular features of such experiments and assessing the related statistical methods. This book consists of methodological contributions on different scenarios of experimental analysis. The first part overviews the main issues in the experimental analysis of algorithms, and discusses the experimental cycle of algorithm development; the second part treats the characterization by means of statistical distributions of algorithm performance in terms of solution quality, runtime and other measures; and the third part collects advanced methods from experimental design for configuring and tuning algorithms on a specific class of instances with the goal of using the least amount of experimentation. The contributor list includes leading scientists in algorithm design, statistical design, optimization and heuristics, and most chapters provide theoretical background and are enriched with case studies. This book is written for researchers and practitioners in operations research and computer science who wish to improve the experimental assessment of optimization algorithms and, consequently, their design.