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Recent Metaheuristics Algorithms for Parameter Identification

researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic;

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Recent Metaheuristics Algorithms for Parameter Identification

researchers, lecturers, engineers, and practitioners solve their own optimization problems. It also bridges the gap between recent metaheuristic;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

intelligence techniques Recent Advances in Hybrid Metaheuristics for Data Clustering offers a guide to the fundamentals of various metaheuristics;

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Recent Developments in Metaheuristics

, objects tracking, and radio frequency identification. In the fields covered in the chapters are of high-impact applications of metaheuristics. The;

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Metaheuristics

an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the;

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Parallel Metaheuristics

can provide useful and practical solutions for a wide range of problems and application domains, with an emphasis on the fields;

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Metaheuristics

engineering design, routing, and scheduling. It presents the main design questions for all families of metaheuristics and clearly illustrates how to;

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Hybrid Metaheuristics

illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such;

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Metaheuristics for Structural Design and Analysis

Metaheuristics for Structural Design and Analysis discusses general properties and types of metaheuristic techniques, basic principles;

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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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Recursive Identification and Parameter Estimation

identification and parameter estimation, but also demonstrates how to apply the proposed approaches for addressing problems in a range of areas;

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Socio cultural Inspired Metaheuristics

book is an interesting read for engineers, scientists, and students studying/working in the optimization, evolutionary computation, artificial;

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Linear Parameter-varying System Identification

researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time;

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Metaheuristics for Big Data

critical challenges: infrastructure, for storage and transportation, and conceptual models. Finally, to extract meaning from Big Data requires;

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Bioinspired Heuristics for Optimization

This book presents recent research on bioinspired heuristics for optimization. Learning- based and black-box optimization exhibit some;

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Machine Learning and Metaheuristics Algorithms, and Applications

This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metahe;...

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Optimal Measurement Methods for Distributed Parameter System Identification

moving sensors, optimal placement presents a critical problem. Optimal Measurement Methods for Distributed Parameter System Identification;

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Optimization Using Evolutionary Algorithms and Metaheuristics

: Covers the application of recent and new algorithms Focuses on the development aspects such as including surrogate modeling;

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Metaheuristics in Machine Learning

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered;

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Structural Identification and Damage Detection using Genetic Algorithms

identification problems with limited and noise contaminated measurements; it provides insight into the effects of various identification parameters on;

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Structural Identification and Damage Detection using Genetic Algorithms

identification problems with limited and noise contaminated measurements; it provides insight into the effects of various identification parameters on;

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Handbook of Approximation Algorithms and Metaheuristics, Second Edition

includes approximation algorithms and heuristics for clustering, networks (sensor and wireless), communication, bioinformatics search, streams;

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Advances in Metaheuristics

Metaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have;

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Machine Learning and Metaheuristics Algorithms and Applications

This book constitutes the refereed proceedings of the Second Symposium on Machine Learning and Metah;...

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Metaheuristic and Evolutionary Computation Algorithms and Applications

grids and renewable energy. In addition, the simulation codes for the problems discussed are included in an appendix for ready reference;

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Recent Advances in Computational Optimization

, wildfire modeling, modeling processes in chemical engineering, workforce planning, wireless access network topology, parameter settings for;

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Metaheuristic Applications in Structures and Infrastructures

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight;

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