From Algorithms to Thinking Machines The New Digital Power by Domenico Talia | 1.92 MB
English | N/A Pages

Title: From Algorithms to Thinking Machines
Author: Talia, Domenico;
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Computational Intelligence-based Optimization Algorithms by Babak Zolghadr-Asli PDF | 32.13 MB
N/A | 357 Pages

Title: Computational Intelligence-based Optimization Algorithms: From Theory to Practice
Author: Babak Zolghadr-Asli
Year: N/A

Free Download Python Data Structures & Algorithms – Ace Coding Interviews
Published 2/2024
Created by Ahmed Elsakka
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 121 Lectures ( 5h 3m ) | Size: 1.2 GB

Free Download Bibliometric Analysis – Algorithms & Interpretations
Published 1/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 5m | Size: 2.1 GB
VOSviewer Demystified: Mathematical Foundations and Network Interpretations of Bibliometric Analysis

Free Download Computational Intelligence-based Optimization Algorithms: From Theory to Practice
by Babak Zolghadr-Asli
English | 2024 | ISBN: 1032544155 | 357 pages | True PDF | 32.13 MB

Free Download Autonomous driving algorithms and Its IC Design by Jianfeng Ren, Dong Xia
English | August 10, 2023 | ISBN: 9819928966 | 315 pages | MOBI | 7.51 Mb
With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too "power-hungry," which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips.

Free Download Approximation and Online Algorithms: 21st International Workshop, WAOA 2023, Amsterdam, The Netherlands, September 7-8, 2023, Proceedings by Jarosław Byrka, Andreas Wiese
English | PDF (True) | 2023 | 246 Pages | ISBN : 3031498143 | 5.4 MB
This book constitutes the refereed proceedings of the 21st International Workshop on Approximation and Online Algorithms, WAOA 2023, held in Amsterdam, The Netherlands, during September 7-8, 2023 The 16 full papers included in this book are carefully reviewed and selected from 43 submissions. The topics of WAOA 2023 were algorithmic game theory, algorithmic trading, coloring and partitioning, competitive analysis, computational advertising, computational finance, cuts and connectivity, FPT-approximation algorithms, geometric problems, graph algorithms, inapproximability results, mechanism design, network design, packing and covering, paradigms for the design and analysis of approximation and online algorithms, resource augmentation, and scheduling problems.

Chaotic Meta-heuristic Algorithms for Optimal Design of Structures by Ali Kaveh PDF | 16.49 MB
N/A | 349 Pages

Title: Chaotic Meta-heuristic Algorithms for Optimal Design of Structures
Author: Ali Kaveh · Hossein Yousefpoor
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Chemin Y Genetic Algorithms Theory, Design and Programming 2024 | 15.93 MB
N/A | 79 Pages

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Author: ITexLi - Спизжено у exLib :
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Free Download Chaotic Meta-heuristic Algorithms for Optimal Design of Structures
English | 2024 | ISBN: 3031489179 | 454 Pages | PDF EPUB (True) | 91 MB
In this book, various chaos maps are embedded in eleven efficient and well-known metaheuristics and a significant improvement in the optimization results is achieved. The two basic steps of metaheuristic algorithms consist of exploration and exploitation. The imbalance between these stages causes serious problems for metaheuristic algorithms, which are immature convergence and stopping in local optima. Chaos maps with chaotic jumps can save algorithms from being trapped in local optima and lead to convergence toward global optima. Embedding these maps in the exploration phase, exploitation phase, or both simultaneously corresponds to three efficient and useful scenarios. By creating competition between different modes and increasing diversity in the search space and creating sudden jumps in the search phase, improvements are achieved for chaotic algorithms. Four Chaotic Algorithms, including Chaotic Cyclical Parthenogenesis Algorithm, Chaotic Water Evaporation Optimization, Chaotic Tug-of-War Optimization, and Chaotic Thermal Exchange Optimization are developed.