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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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Engineering Optimization

in mathematics, industrial engineering, and computer science, as well as students in computer science, engineering optimization, and computer simulation.;

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Metaheuristics

and researchers from diverse areas dealing with optimization or machine learning; and graduate students in computer science, operations;

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Hybrid Metaheuristics for Image Analysis

will be useful for researchers in computer science, electrical engineering, and information technology.;

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Metaheuristic Optimization Algorithms in Civil Engineering

electrical engineers who use optimization methods for design, as well as for students and researchers interested in structural optimization.;

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Metaheuristic Optimization Algorithms in Civil Engineering New Applications

electrical engineers who use optimization methods for design, as well as for students and researchers interested in structural optimization.;

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Optimization in Engineering Sciences

stochastic optimization, as well as methods and tools for computer-aided decision-making and simulation for decision-making.;

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Metaheuristics for Intelligent Electrical Networks

strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization;

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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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Parallel Metaheuristics

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

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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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Numerical Optimization in Engineering and Sciences

mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current;

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Numerical Optimization in Engineering and Sciences

mechanical, manufacturing, civil, electrical, chemical, computer, and electronics engineering. The major focus is on innovative ideas, current;

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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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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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Computer, Communication and Electrical Technology

The First International Conference on Advancement of Computer, Communication and Electrical Technology focuses on key technologies and;

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Computer, Communication & Electrical Technology

The First International Conference on Advancement of Computer, Communication and Electrical Technology focuses on key technologies and;

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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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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 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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Teaching Learning Based Optimization Algorithm

Describing a new optimization algorithm, the Teaching-Learning-Based Optimization (TLBO), in a clear and lucid style, this book;

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A Practical Approach to Metaheuristics using LabVIEW and MATLAB (R)

areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are;

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Practical Approach Metaheuristics LabVIE

areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are;

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Heuristics for Optimization and Learning

This book is a new contribution aiming to give some last research findings in the field of optimization and computing. This work is in the;

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Metaheuristic Applications in Structures and Infrastructures

. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization;

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