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Thermal System Optimization: A Population-Based Metaheuristic Approach

This book presents a wide-ranging review of the latest research and development directions in thermal systems optimization using population;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its;

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Advances in Metaheuristic Algorithms for Optimal Design of Structures

-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its;

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

Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners;

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Practical Approach Metaheuristics LabVIE

Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners;

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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applicatio

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on;

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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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Metaheuristic Optimization for the Design of Automatic Control Laws

the metaheuristic method (particle swarm optimization), is given. The proposed approach is presented along with real-life experiments, proving;

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Optimization of Process Flowsheets through Metaheuristic Techniques

This textbook presents a general multi-objective optimization framework for optimizing chemical processes by implementing a link between;

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Advanced Multiresponse Process Optimisation

traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition;

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Advances in Structural Engineering-Optimization

processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a;

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Advances in Structural Engineering Optimization

processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a;

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Metaheuristic Computation with MATLAB (R)

Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very;

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Metaheuristic Computation with MATLAB (R)

Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Metaheuristic Computation

family of optimization techniques, there seems to be a question which needs to be answered: Which part of the design in a metaheuristic algorithm;

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Thermal Design and Optimization

A comprehensive and rigorous introduction to thermal system design from a contemporary perspective Thermal Design and Optimization offers;

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Metaheuristics and Optimization in Civil Engineering

This timely book deals with a current topic, i.e. the applications of metaheuristic algorithms, with a primary focus on optimization;

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Bio-Inspired Algorithms in PID Controller Optimization

based on the optimization algorithms with different single area and multi-area thermal power systems Reports different cases on the;

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Bio-Inspired Algorithms in PID Controller Optimization

-inspiration algorithms Provides some applied applications/examples of the thermal power system Focusses on power system applications based on;

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A Metaheuristic Approach to Protein Structure Prediction

improvement of the most appropriate metaheuristic algorithm to solve the problem based on a fitness landscape analysis, rather than on the nature;

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Thermal System Design and Optimization

Annealing, and Bayesian Inference in the context of optimization of thermal systems. There is a separate chapter devoted to inverse problems;

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Thermal System Design and Optimization

Annealing, and Bayesian Inference in the context of optimization of thermal systems. There is a separate chapter devoted to inverse problems;

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Thermal Energy Systems

Thermal Energy Systems: Design and Analysis, Second Edition presents basic concepts for simulation and optimization, and introduces;

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Metaheuristic Optimization in Power Engineering

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a;

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Design and Test Strategies for 2D/3D Integration for NoC-based Multicore Architectures

This book covers various aspects of optimization in design and testing of Network-on-Chip (NoC) based multicore systems. It gives a;

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