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Metaheuristic Optimization Algorithms in Civil Engineering

This book discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering;

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Metaheuristic Optimization Algorithms in Civil Engineering New Applications

This book discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering;

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Metaheuristics

efficient algorithms to solve complex optimization problems across a diverse range of applications, from networking and bioinformatics to;

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Advances in Metaheuristics

optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical;

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Advances in Metaheuristics

optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical;

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Hybrid Metaheuristics

readers to design and implement hybrid metaheuristics to solve complex optimization problems (continuous/discrete, mono-objective/multi-objective;

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Metaheuristics in Water, Geotechnical and Transport Engineering

, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms;

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Metaheuristics and Optimization in Computer and Electrical Engineering

explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical;

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Metaheuristic Applications in Structures and Infrastructures

design courses and computation in engineering as well as a reference for researchers and engineers in metaheuristics, optimization in civil;

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Metaheuristics and Optimization in Civil Engineering

metaheuristic algorithms in civil engineering and other related engineering fields, such as mechanical, transport and geotechnical engineering. It;

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Metaheuristic and Evolutionary Computation Algorithms and Applications

metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems;

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Parallel Metaheuristics

Multi-Objective Optimization, and Parallel Heterogeneous Metaheuristics Part Three: Theory and Applications, including Theory of Parallel;

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Engineering Optimization

Modern optimization techniques are widely applicable to many applications, and metaheuristics form a class of emerging powerful algorithms;

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Nature-Inspired Methods for Metaheuristics Optimization

mechanical, electrical and civil engineering, and earth/environmental science, and covers topics such as robotics, water management, process;

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Metaheuristics for Combinatorial Optimization

is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex;

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Optimization Using Evolutionary Algorithms and Metaheuristics

Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering;

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Optimization in Engineering Sciences

The purpose of this book is to present the main metaheuristics and approximate and stochastic methods for optimization of complex systems;

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Metaheuristics

in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide;

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Numerical Methods and Applications

; metaheuristics for optimization problems; advanced numerical methods for scientific computing; advanced numerical techniques for PDEs and applications;

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Optimization Using Evolutionary Algorithms and Metaheuristics

applications for both single-objective and multi-objective optimization problems Offers recent developments from a variety of engineering;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

of different optimization algorithms. The text offers a step-by-step guide in the build-up of hybrid metaheuristics and to enhance comprehension;

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Metaheuristics for Structural Design and Analysis

of topology, shape and size optimization of structures, and applications of metaheuristic algorithms in solving structural design problems. Analysis;

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Metaheuristics for Portfolio Optimization

and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results;

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Computational Intelligence Optimization and Inverse Problems with Applications

metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions;

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Matheuristics

challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their;

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Hybrid Metaheuristics

of interest for all the researchers working on integrating metaheuristics with other areas for solving both optimization and constraint satisfaction;

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Numerical Optimization in Engineering and Sciences

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and;

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