Algorithm Optimization – alle Bücher und LPs online kaufen

Alaa Khamis
Optimization Algorithms

From the Back Cover:Optimization Algorithms: AI techniques for design, planning, and control problems explores the AI algorithms that determine the most efficient routes, optimal designs, and solve other …

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Prashad
Optimization Algorithms for Machine Learning: Theory and Practice

In the realm of machine learning, optimization algorithms play a pivotal role in refining models for optimal performance. These algorithms, ranging from classic gradient descent to advanced techniques lik…

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Jan Jelinek

Social Engineering

Social Engineering versammelt dreizehn Textfragmente aus sogenannten Phishing-E-Mails. Mittels Sprachsynthese werden sie gesprochen, gesungen und/oder in abstrakte Texturen verwandelt. Das Ergebnis ist ei…

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Kinky
Exploring Optimization Algorithms in Machine Learning: From Theory to Practice

Optimization algorithms in machine learning bridge theoretical foundations with practical applications, crucial for refining model performance. Techniques like gradient descent, stochastic gradient descen…

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Rosario Toscano
Solving Optimization Problems with the Heuristic Kalman Algorithm

This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems.The main …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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Optimization, Learning Algorithms and Applications

This two-volume set, CCIS 2280 and CCIS 2281, constitutes the proceedings of the 4th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2024, held in Tenerife, Spain, in …

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

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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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural netw…

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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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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…

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Metaheuristics and Optimization in Computer and Electrical Engineering

This book discusses different methods of modifying the original metaheuristics and their application in computer and electrical engineering. As the race to develop advanced technology accelerates, a new e…

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Michael Hartisch, Marc Goerigk
An Introduction to Robust Combinatorial Optimization

This book offers a self-contained introduction to the world of robust combinatorial optimization. It explores decision-making using the min-max and min-max regret criteria, while also delving into the two…

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Welington Luis de Oliveira, Wim Stefanus van Ackooij
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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David Müller
Algorithmic Aspects of Discrete Choice in Convex Optimization

This book develops a framework to analyze algorithmic aspects of discrete choice models in convex optimization. The central aspect is to derive new prox-functions from discrete choice surplus functions, w…

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Baha Alzalg
Combinatorial and Algorithmic Mathematics

Detailed review of optimization from first principles, supported by rigorous math and computer science explanations and various learning aidsSupported by rigorous math and computer science foundations, Co…

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Bio-Inspired Optimization for Medical Data Mining

This book is a comprehensive exploration of bio-inspired optimization techniques and their potential applications in healthcare.Bio-Inspired Optimization for Medical Data Miningis a groundbreaking book th…

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Optimization in Sustainable Energy

This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making…

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