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Intelligent Engineering Optimisation with the Bees Algorithm

Springer Series in Advanced Manufacturing

This book presents new and advanced results and developments related to the Bees Algorithm, along with its application to a wide range of engineering problems.Modern complex processes and systems are diff…

lieferbar innerhalb 2-3 Wochen

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Optimization and Adaptive Control Algorithms

Emerging Trends in Mechatronics

This book presents smart optimization techniques and adaptive intelligent control systems which stimulate innovations in engineering and computational science. This book captures these innovations and des…

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J. S. Dhillon, G. S Dhillon
Optimization Algorithms for Engineers

The book provides simple and understandable computational concepts and algorithms used for optimization of engineering design so that reader can develop their own programs in any high level programming la…

lieferbar in mind. 4 Wochen

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Convex Optimization-Theory, Algorithms and Applications

This volume includes chapters on topics presented at the conference on Recent Trends in Convex Optimization: Theory, Algorithms and Applications (RTCOTAA-2020), held at the Department of Mathematics, Indi…

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Yang Yu, Hong Qian, Yi-Qi Hu
Derivative-Free Optimization

Machine Learning: Foundations, Methodologies, and Applications

This book offers a pioneering exploration of classification-based derivative-free optimization (DFO), providing researchers and professionals in artificial intelligence, machine learning, AutoML, and opti…

lieferbar innerhalb 2-3 Wochen

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Duc Truong Pham, Marco Castellani, Luca Baronti
Intelligent Optimisation with the Bees Algorithm

Springer Series in Advanced Manufacturing

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.…

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Ye Yue
Risk-Aware Rate of Penetration Prediction and Optimization based on Machine Learning Algorithm

This thesis presents a comprehensive data-driven framework for Rate of Penetration (ROP) prediction and optimization in drilling operations using machine learning. The approach addresses key challenges in…

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Debashish Das, Ali Safaa Sadiq, Seyedali Mirjalili
Optimization Algorithms in Machine Learning

Engineering Optimization: Methods and Applications

This book explores the development of several new learning algorithms that utilize recent optimization techniques and meta-heuristics. It addresses well-known models such as particle swarm optimization, g…

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Theory, Algorithms, and Experiments in Applied Optimization

Springer Optimization and Its Applications - Band 226

This book celebrates the remarkable contributions of Panos M. Pardalos, offering a comprehensive collection of 19 rigorously peer-reviewed articles that span the breadth of his research interests. From de…

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Anand Nayyar, Mohit Kumar, Pawan Kumar Verma, Saurabh Singhal
Quantum Searching and Optimization Algorithms

This book offers a rigorous and forward-looking exploration of one of the most consequential frontiers in modern computation: the use of quantum mechanics to accelerate search, optimization, learning, sim…

lieferbar ab 1.12.2026.

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Networks and Optimization

Springer Optimization and Its Applications

The book tackles two core challenges in modern network analysis: developing robust models to capture complex network dynamics and designing efficient algorithms for optimization problems. Part I delves in…

lieferbar in mind. 4 Wochen

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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.…

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Erik Cuevas, Angel Chavarin-Fajardo, Cesar Ascencio-Piña, Sonia Garcia-De-Lira
Optimization Strategies: A Decade of Metaheuristic Algorithm Development

Intelligent Systems Reference Library - Band 266

This book is to explore the development of metaheuristic algorithms over the past decade, focusing on key advancements in their components and structural features, which have driven progress in search tec…

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Buch

Wim Stefanus van Ackooij, Welington Luis de Oliveira
Methods of Nonsmooth Optimization in Stochastic Programming

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under un…

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