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Advances in Evolutionary Computing: Theory and Applications (Repost)

Posted By: AvaxGenius

Date: 15 Apr 2024 04:22:28

Advances in Evolutionary Computing: Theory and Applications (Repost)

Advances in Evolutionary Computing: Theory and Applications by Ashish Ghosh
English | PDF | 2003 | 1001 Pages | ISBN : 3540433309 | 101.59 MB

The term evolutionary computing (EC) refers to the study of the foundations and applications of certain heuristic techniques based on the principles of natural evolution, and thus the aim when designing evolutionary algorithms (EAs) is to mimic some of the processes taking place in natural evolution.

Development Genetic Algorithms Heuristic Methods Programming Engineering Artificial Intelligence Evolutionary Computation Science

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Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019

Posted By: AvaxGenius

Date: 16 Dec 2023 03:07:40

Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 by Mohammad Shorif Uddin
English | PDF | 2020 | 642 Pages | ISBN : 9811536066 | 102.89 MB

This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India. These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include 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.

Development big data SQL Soft Computing Genetic fuzzy system Swarm Intelligence Programming Evolutionary Computation Neural Network Fuzzy Logic Science Databases Algorithms Engineering

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Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 (Repost)

Posted By: AvaxGenius

Date: 4 Jul 2023 20:27:22

Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 (Repost)

This book gathers outstanding research papers presented at the International Joint Conference on Computational Intelligence (IJCCI 2019), held at the University of Liberal Arts Bangladesh (ULAB), Dhaka, on 25–26 October 2019 and jointly organized by the University of Liberal Arts Bangladesh (ULAB), Bangladesh; Jahangirnagar University (JU), Bangladesh; and South Asian University (SAU), India.
These proceedings present novel contributions in the areas of computational intelligence, and offer valuable reference material for advanced research. The topics covered include 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.

Development Fuzzy Logic Evolutionary Computation Engineering Algorithms Artificial Neural Network

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Proceedings of International Joint Conference on Advances in Computational Intelligence: IJCACI 2022

Posted By: AvaxGenius

Date: 18 Jun 2023 03:33:14

This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 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.

Development Soft Computing Computational Intelligence Swarm Intelligence Fuzzy Logic Artificial Neural Network Evolutionary Computation

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Evolvable Hardware

Posted By: AvaxGenius

Date: 17 Feb 2023 01:28:46

Evolvable hardware (EHW) refers to hardware whose architecture/structure and functions change dynamically and autonomously in order to improve its performance in carrying out tasks. The emergence of this field has been profoundly influenced by the progress in reconfigurable hardware and evolutionary computation. Traditional hardware can be inflexible – the structure and its functions are often impossible to change once it is created. However, most real world problems are not fixed – they change with time. In order to deal with these problems efficiently and effectively, different hardware structures are necessary. EHW provides an ideal approach to make hardware "soft" by adapting the structure to a problem dynamically. The contributions in this book provide the basics of reconfigurable devices so that readers will be fully prepared to understand what EHW is, why it is necessary and how it is designed. The book also discusses the leading research in digital, analog and mechanical EHW.

Development Hardware Evolvable Hardware Theory of Computation Electronics Microelectronics Instrumentation Computer Hardware Artificial Intelligence Computer Science Evolutionary Computation

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Evolutionary Computation in Economics and Finance

Posted By: AvaxGenius

Date: 21 Jan 2023 12:51:22

Evolutionary Computation in Economics and Finance by Shu-Heng Chen
English | PDF | 2002 | 459 Pages | ISBN : 3790814768 | 43.6 MB

After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

Economics Finance Evolutionary Computation Computation Artificial Intelligence Quantitative Economics Financial Economics Algorithms Game Theory

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Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 (Repost)

Posted By: AvaxGenius

Date: 11 Dec 2022 13:02:31

Science Development SQL Soft Computing Swarm Intelligence Evolutionary Computation Algorithms Engineering

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Metaheuristics for Finding Multiple Solutions (Repost)

Posted By: AvaxGenius

Date: 7 Sep 2022 01:56:33

Metaheuristics for Finding Multiple Solutions (Repost)

This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution.
However, in real-world settings, many problems are “multimodal” by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as “niching” methods, because of the nature-inspired “niching” effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges.

Science Computing Evolutionary Computation Global optimization Machine Learning Metaheuristics Multi-objective Optimization Quality Diversity Optimization Niching Multimodal Optimization

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Advances in Swarm Intelligence

Posted By: AvaxGenius

Date: 21 Jul 2022 06:51:32

Science Swarm Intelligence Swarm Optimization Optimization Algorithms Differential Evolution Genetic Algorithm Optimization Algorithm Brain Storm Optimization Evolutionary Computation Robotics Swarm Robotics Computing Methods Theory of Computation Computer Engineering Machine Learning Mathematics of Computing Mathematics Computing

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Advances in Swarm Intelligence

Posted By: AvaxGenius

Date: 21 Jul 2022 05:03:35

Science Swarm Intelligence Swarm Optimization Optimization Algorithms Differential Evolution Algorithms Genetic Algorithm Optimization Algorithm Brain Storm Brain Storm Optimization Algorithm Fireworks Algorithms Evolutionary Computation Swarm Robotics Theory of Computation Computer Engineering Networks Machine Learning Mathematics of Computing Mathematics

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Advances in Swarm Intelligence

Posted By: AvaxGenius

Date: 1 Jul 2022 08:01:35

Advances in Swarm Intelligence: 13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part II by Ying Tan
English | PDF | 2022 | 467 Pages | ISBN : 3031097254 | 35.1 MB

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.
The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the second part cover topics such as: Swarm Robotics and Multi-agent System; Deep Neural Networks; Machine Learning; Data Mining; Other Optimization Applications; ICSI-OC’2022: Competition on Single Objective Bounded Optimization Problems; Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Swarm Intelligence Approach-based Applications; Multi-Objective Optimization.

Science Swarm Intelligence Swarm Optimization Optimization Algorithms Differential Evolution Genetic Algorithm Evolutionary Computation Fireworks Algorithms Brain Storm Optimization Algorithm Brain Storm Optimization Algorithm Robotics Swarm Robotics Computing Methods Theory of Computation Computer Engineering Networks Machine Learning Mathematics of Computing Mathematics

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Advances in Swarm Intelligence

Posted By: AvaxGenius

Date: 1 Jul 2022 07:57:45

Advances in Swarm Intelligence: 13th International Conference, ICSI 2022, Xi'an, China, July 15–19, 2022, Proceedings, Part I by Ying Tan
English | PDF | 2022 | 553 Pages | ISBN : 3031096762 | 35.5 MB

This two-volume set LNCS 13344 and 13345 constitutes the proceedings of the 13th International Conference on Advances in Swarm Intelligence, ICSI 2022, which took place in Xi’an, China, in July 2022. The theme of this year’s conference was “Serving Life with Swarm Intelligence”.
The 85 full papers presented were carefully reviewed and selected from 171 submissions. The papers of the first part cover topics such as: Swarm Intelligence and Nature-Inspired Computing; Swarm-based Computing Algorithms for Optimization; Particle Swarm Optimization; Ant Colony Optimization; Differential Evolution; Genetic Algorithm and Evolutionary Computation; Fireworks Algorithms; Brain Storm Optimization Algorithm; Bacterial Foraging Optimization Algorithm; DNA Computing Methods; Multi-Objective Optimization; Swarm Robotics and Multi-Agent System; UAV Cooperation and Control; Machine Learning; Data Mining; and Other Applications.

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Intelligent Computing, Information and Control Systems: ICICCS 2019 (Repost)

Posted By: AvaxGenius

Date: 22 Apr 2022 21:56:46

Intelligent Computing, Information and Control Systems: ICICCS 2019 (Repost)

Intelligent Computing, Information and Control Systems: ICICCS 2019 by A. Pasumpon Pandian
English | PDF | 2020 | 748 Pages | ISBN : 3030304647 | 82.1 MB

From past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically.

Intelligent systems Neuro-fuzzy control Computational Intelligence Artificial Neural Networks Neural NetworksNeuro Evolutionary Computation Genetic Algorithms Artificial Intelligence Support vector Machines

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Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques (Repost)

Posted By: AvaxGenius

Date: 22 Apr 2022 20:41:08

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques (Repost)

Analog Circuits and Systems Optimization based on Evolutionary Computation Techniques by Manuel F. M. Barros
English | PDF | 2010 | 247 Pages | ISBN : 3642123457 | 8.3 MB

The microelectronics market trends present an ever-increasing level of complexity with special emphasis on the production of complex mixed-signal systems-on-chip. Strict economic and design pressures have driven the development of new methods to automate the analog design process. However, and despite some significant research efforts, the essential act of design at the transistor level is still performed by the trial and error interaction between the designer and the simulator.

CMOS Optimization Systems Optimization Evolutionary Computation Electronics Computational Intelligence

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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II

Posted By: AvaxGenius

Date: 29 Mar 2022 04:22:14

EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II by Oliver Schütze
English | PDF | 2013 | 504 Pages | ISBN : 3642315186 | 25.5 MB

This book comprises a selection of papers from the EVOLVE 2012 held in Mexico City, Mexico. The aim of the EVOLVE is to build a bridge between probability, set oriented numerics and evolutionary computing, as to identify new common and challenging research aspects.

Science Evolutionary Computation Intelligent Computing Probability Set Oriented Numerics Computational Intelligence Engineering Artificial Intelligence Statistics Mathematical Models

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