optimization using evolutionary algorithms (86 Ergebnisse)

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.35.

Pamphlet. Zustand: Very Good. Vol 98, No 4, pp. 795-817, Maps, Illus, 4to, Extracted from orig vol, thus begins with title page, trimmed & stapled pamphlet, else VG.

Paperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 185.

Hardcover. Zustand: Very Good. 1st Edition. Bright, clean hardcover with clean pages.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

Softcover. Zustand: gut. Auflage: 1st (2001). Multi Objective Optimization Using Evolutionary Algorithms von Kalyanmoy Deb (Autor), Deb Kalyanmoy (Autor) In englischer Sprache. 518 pages.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Robot Gait Optimization Using Evolutionary Algorithms presents innovative methodologies for refining robotic locomotion. This book discusses the application of evolutionary strategies to optimize gait patterns, improving stability, energy efficiency, and adaptability across diverse terrains. It explores algorithmic frameworks, simulation models, and real-world testing scenarios, demonstrating how evolutionary algorithms can significantly enhance robotic mobility. The focus lies on creating more versatile and resilient robots capable of operating effectively in unpredictable environments. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Robot gait optimization is a critical aspect of robotics, particularly in the development of humanoid robots. This book explores the application of evolutionary algorithms to optimize robot gait, enabling robots to navigate complex environments with greater ease and efficiency. By leveraging the power of evolutionary algorithms, researchers and engineers can develop more agile and adaptable robots that can navigate challenging terrain and interact with humans in a more natural and intuitive way. With a focus on the latest research and applications, this book provides a comprehensive overview of the current state of the art in robot gait optimization using evolutionary algorithms. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Architecture Optimization Using Evolutionary Algorithms presents a novel approach to designing efficient quantum computing architectures through evolutionary strategies. This publication emphasizes the importance of optimization techniques in developing scalable and robust quantum systems. It discusses the application of genetic algorithms and other evolutionary methods to refine quantum circuit layouts, improve qubit connectivity, and enhance overall system performance, paving the way for more practical and powerful quantum computers. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Zustand: New. Zustand des Schutzumschlags: no dj. First. Quantum Architecture Optimization Using Evolutionary Algorithms presents a cutting-edge exploration of the application of evolutionary algorithms to the optimization of quantum architectures. By leveraging the principles of evolutionary algorithms, this book provides a comprehensive analysis of the techniques used to optimize quantum circuit performance, including the use of genetic algorithms and particle swarm optimization. The author's in-depth examination of the potential of evolutionary algorithms to optimize quantum architectures offers a valuable resource for researchers and engineers seeking to advance the field of quantum computing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.