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Brent R. Bielefeldt, Darren J. Hartl, Marcelo H. Kobayashi
Topology Optimization via L-Systems and Genetic Algorithms

"Providing a succinct overview of Lindenmayer system (L-system) topology optimization, this book focuses on the methods and theory underlying this novel bioinspired approach. Starting from basic prin…

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Metaheuristics

This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4¿7, 2024.The 36 full papers presented together with 34 …

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Metaheuristics

This volume constitutes the refereed proceedings of Metaheuristics on 15th International Conference, MIC 2024, held in Lorient, France, during June 4¿7, 2024.The 36 full papers presented together with 34 …

lieferbar innerhalb 2-3 Wochen

Buch

Recent Advances in Intelligent Engineering

Topics in Intelligent Engineering and Informatics - Band 18

The book publishes new developments and advances in the various areas of computational intelligence¿quickly and with a high quality. The intent is to cover the theory, applications, and design methods of …

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Computational Intelligence Applied to Inverse Problems in Radiative Transfer

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-dep…

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Soft Computing in Industry 5.0 for Sustainability

Soft computing and Industry 5.0 are two distinct concepts that, when combined, can have a significant impact on sustainability initiatives within various industries. Soft computing is a subfield of artifi…

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Jacksin
A Two-Part Approach to Optimal Warehouse Order Picking: Batching, Packing, and Routing

Having established batching and packing strategies, the next step is optimizing picker routes within the warehouse. This involves determining the most efficient path for pickers to minimize travel time an…

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Deep Learning Techniques for Automation and Industrial Applications

This book provides state-of-the-art approaches to deep learning in areas of detection and prediction, as well as future framework development, building service systems and analytical aspects in which arti…

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Jin Song Dong, Seyedali Mirjalili
Multi-Objective Optimization using Artificial Intelligence Techniques

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential defini…

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Hamid Radmard Rahmani
Seismic Control of Structures Using Tuned Mass Dampers

This book begins by describing the Tuned Mass Dampers (TMD) systems to familiarize readers with the basic concepts, followed by a brief review of the state-of-the-art research findings culled from recent …

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