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Meta heuristic Algorithms for Optimal Design of Real Size Structures

The contributions in this book discuss large-scale problems like the optimal design of domes, antennas, transmission line towers, barrel;

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Meta-heuristic and Evolutionary Algorithms for Engineering Optimization

optimization (ACO), and the particle swarm optimization (PSO) technique. Chapter 1 of Meta-heuristic and Evolutionary Algorithms for Engineering;

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A Framework for Alternation of Meta-Heuristic Algorithms

This work presents a new approach based on the alternation of meta-heuristic algorithms solving the problems of combinatorial optimization;

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Optimal Districting and Territory Design

This book highlights recent advances in the field of districting, territory design, and zone design. Districting problems deal essentially;

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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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Genetic Algorithms, Fuzzy Systems & Website Classification

discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply;

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The Design of Approximation Algorithms

-optimal solutions. The book is organized around central algorithmic techniques for designing approximation algorithms, including greedy and local;

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Recent Advances in Optimal Structural Design

; optimized performance-based design for buildings; multi-objective optimum design of seismic-resistant structures; and reliability- and cost-oriented;

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Heuristic Search

> Provides real-world success stories and case studies for heuristic search algorithms Includes many AI developments not yet;

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Metaheuristics for Maritime Operations

and planning problems in both bulk and container shipping as well as liquid maritime transportation. Application of meta heuristic algorithm;

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Intelligent Computing in Optimal Design

Different kinds of optimization such as shape, topology, size and material optimization for structures under static and dynamical;

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Applications of Flower Pollination Algorithm and its Variants

find optimal solution for a variety of real-world engineering and medical problems. Swarm intelligence-based meta-heuristic algorithms are;

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Applications of Bat Algorithm and its Variants

application to find optimal solutions for a variety of real-world engineering and medical problems. Today, swarm intelligence-based meta-heuristic;

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Classical and Recent Aspects of Power System Optimization

Classical and Recent Aspects of Power System Optimization presents conventional and meta-heuristic optimization methods and algorithms;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization;

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Generic Data Structures and Algorithms in Go

of algorithm design (greedy, divide and conquer, branch-and-bound to name a few) provides an essential foundation and toolkit for problem solving. But;

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Advances in Heuristic Signal Processing and Applications

-art methodologies for solving real-world problems and it is a suitable reference for researchers and engineers in the areas of heuristics and;

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Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling is een boek van Mdpi Ag;

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Dynamic Parameter Adaptation for Meta Heuristic Optimization Algorithms Through

In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on;

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Quantum Inspired Meta-heuristics for Image Analysis

This book will entice readers to design efficient meta-heuristics for image analysis in the quantum domain. It introduces them to the essence;

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Learn Data Structures and Algorithms with Golang

in real-world scenarios Compare the complexity of different algorithms and data structures for improved code performance Book DescriptionGolang;

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Meta-Learning

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the;

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Advances on Computational Intelligence in Energy

the practical steps required for applying bio-inspired, meta-heuristic algorithms in energy, such as the prediction of oil consumption and;

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CAD of Circuits and Integrated Systems

which it is necessary to develop efficient algorithms based on heuristics or meta-heuristics. Chapter 3 of this book demonstrates how to;

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Combinatorial Algorithms

heuristic search methods applied to various combinatorial structures, such as: Combinations Permutations Graphs Designs Many;

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