Duc Truong Pham – författare

Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. This book presents novel applications and real world applications working in Manufacturing and Engineering, and it sets a basis for understanding Domotic and Production Methods of the XXI Century.

Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. This book presents novel applications and real world applications working in Manufacturing and Engineering, and it sets a basis for understanding Domotic and Production Methods of the XXI Century.

Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typicalproduct instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems.

Optimisation of Robotic Disassembly for Remanufacturing provides practical case studies on typicalproduct instances to help practitioners design efficient robotic disassembly with minimal manual operation, and offers comparisons of the state-of-the-art metaheuristics on solving the key optimisation problems.

This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.

This book is the first work dedicated to the Bees Algorithm. Following a gentle introduction to the main ideas underpinning the algorithm, the book presents recent results and developments relating to the algorithm and its application to optimisation problems in production and manufacturing. With the advent of the Fourth Industrial Revolution, production and manufacturing processes and systems have become more complex. To obtain the best performance from them requires efficient and effective optimisation techniques that do not depend on the availability of process or system models. Such models are usually either not obtainable or mathematically intractable due to the high degrees of nonlinearities and uncertainties in the processes and systems to be represented. The Bees Algorithm is a powerful swarm-based intelligent optimisation metaheuristic inspired by the foraging behaviour of honeybees. The algorithm is conceptually elegant and extremely easy to apply. All it needs to solve an optimisation problem is a means to evaluate the quality of potential solutions. This book demonstrates the simplicity, effectiveness and versatility of the algorithm and encourages its further adoption by engineers and researchers across the world to realise smart and sustainable manufacturing and production in the age of Industry 4.0 and beyond.

Various themes related to remanufacturing, including methods for operations management, methodologies for quality assessment and life cycle assessment, the integration of robots in remanufacturing, and the use of modern I4.0 technologies in a remanufacturing context among others were addressed.

Dieses Buch ist das erste Werk, das sich mit dem Bienenalgorithmus beschäftigt. Nach einer sanften Einführung in die wichtigsten Ideen, die dem Algorithmus zugrunde liegen, stellt das Buch aktuelle Ergebnisse und Entwicklungen im Zusammenhang mit dem Algorithmus und seiner Anwendung auf Optimierungsprobleme in Produktion und Fertigung vor.Mit dem Beginn der vierten industriellen Revolution sind Produktions- und Fertigungsprozesse und -systeme immer komplexer geworden. Um die beste Leistung aus ihnen herauszuholen, sind effiziente und effektive Optimierungstechniken erforderlich, die nicht von der Verfügbarkeit von Prozess- oder Systemmodellen abhängen. Solche Modelle sind in der Regel entweder nicht verfügbar oder aufgrund des hohen Grades an Nichtlinearität und Unsicherheiten in den darzustellenden Prozessen und Systemen mathematisch schwer zu lösen. Der Bienenalgorithmus ist eine leistungsstarke, schwarmbasierte, intelligente Optimierungs-Metaheuristik, die vom Suchverhalten der Honigbienen inspiriert ist. Der Algorithmus ist konzeptionell elegant und extrem einfach anzuwenden. Alles, was er zur Lösung eines Optimierungsproblems benötigt, ist ein Mittel zur Bewertung der Qualität potenzieller Lösungen.Dieses Buch zeigt die Einfachheit, Effektivität und Vielseitigkeit des Algorithmus und ermutigt Ingenieure und Forscher auf der ganzen Welt, ihn weiter einzusetzen, um eine intelligente und nachhaltige Fertigung und Produktion im Zeitalter von Industrie 4.0 und darüber hinaus zu realisieren.

mso-bidi-language: AR-SA;">This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees.

Dieses Buch bietet einen Leitfaden zum Verständnis, zur Implementierung und zur Anwendung des Bienenalgorithmus – einer leistungsstarken, naturinspirierten Optimierungs-Metaheuristik, die das Sammelverhalten von Honigbienen nachahmt. In der heutigen hochgradig vernetzten Welt sind Systeme zunehmend schwer zu optimieren. Dieses Buch widmet sich der Herausforderung, komplexe Optimierungsprobleme zu lösen, indem es sich von den bemerkenswerten Problemlösungsfähigkeiten der Natur inspirieren lässt. Der Bienenalgorithmus stellt einen robusten und anpassungsfähigen Ansatz dar, um die Komplexität multimodaler oder zeitvariabler Probleme zu bewältigen – Probleme, an denen traditionelle Optimierungsmethoden oft scheitern. Das Buch bietet eine tiefgehende Analyse des Algorithmus und vermittelt ein Verständnis seiner zugrunde liegenden Prinzipien und Mechanismen. Es etabliert ein mathematisches Rahmenwerk, das einen Einblick in das Verhalten und die Leistungsfähigkeit des Algorithmus ermöglicht.Anhand empirischer Studien und Benchmarks wird die Effektivität des Algorithmus bei einer Vielzahl von Optimierungsproblemen demonstriert. Darüber hinaus werden praktische Anwendungen des Bienenalgorithmus in verschiedenen Bereichen wie Ingenieurwesen, Robotik und Fertigung vorgestellt. Abschließend werden die neuesten Entwicklungen und Varianten des Algorithmus diskutiert, wobei sein Potenzial für zukünftige Forschung und Innovation hervorgehoben wird.Mit seinem zugänglichen Stil und der schrittweisen Anleitung richtet sich dieses Buch an Forscher, Praktiker und Studierende aus den Bereichen Informatik, Ingenieurwesen und Optimierung. Es vermittelt das nötige Wissen und die Werkzeuge, um die Prinzipien der Schwarmintelligenz und Biomimikry zur Lösung realer Optimierungsprobleme im Zeitalter der Industrie 4.0 zu nutzen.

This book reports some latest human-robot collaboration technologies and manufacturing applications. Human-robot collaboration (HRC) is a promising new technology, in which humans and robots share their skills to establish joint capacities to perform complicated industrial jobs. The technology can meet the ever-increasing requirements for high-mixed/low-volume product manufacturing. In this book, foundations, as well as the state-of-the-art and practical implementations for the relevant technologies, are covered. The book details innovative HRC design in terms of HRC safety assurance, robotic learning from demonstration, HRC activity planning and replanning. Manufacturing case studies included in this book illustrate the design details of the algorithms and methodologies for the applications, in a bid to provide useful references to readers. The book offers a valuable resource for researchers in the intelligent manufacturing communities, as well as practicing engineers and decision makers in industry and all those interested in intelligent manufacturing and Industry 4.0.

This book presents the select proceedings of 2nd International Conference on Emerging Materials, Smart Manufacturing, and Computational Intelligence. It provides cutting-edge knowledge about diverse technological evolutions, innovations, and developments in advanced materials and manufacturing for sustainability, energy, and health-based technologies. Further, this book expedites discussion that focuses on the recent developments and challenges in the field of sustainable and bio-inspired materials, advancements in energy engineering, green energy technologies, sustainable computing in healthcare, sustainable quantum computing, sustainable advancement in robotics and mechatronics, bio-sensors, bio-signals and medical imaging. It emphasizes sustainable development and promotes diverse methods to address field difficulties. This unique book contains the present bloom and curses in sustainable and smart manufacturing technology for a plethora of industrial applications like aerospace, automobile, marine, and biomedical specialization. This book serves as an excellent resource for beginner students, academicians, researchers, postgraduate students, scientists, and commercial manufacturers, and professionals of mechanical, manufacturing and mechatronics engineering, and other sustainable-related disciplines.