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Optimization for Engineering Design - Algorithms and Examples

Optimization for Engineering Design is een boek van Deb Kalyanmoy;

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New Optimization Algorithms and their Applications

>Presents three novel optimization algorithms for engineering Gives various applications and design examples for each algorithm

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Engineering Design Optimization

, multidisciplinary design optimization, and uncertainty, with instruction on how to determine which algorithm should be used for a given application. It also;

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Metaheuristics in Water, Geotechnical and Transport Engineering

, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and;

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Algorithms for Optimization

; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for;

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Algorithms for Variable-Size Optimization

of the book includes numerical examples on classical optimization algorithms, which are useful for undergraduate engineering students. While;

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Algorithms for Variable-Size Optimization

of the book includes numerical examples on classical optimization algorithms, which are useful for undergraduate engineering students. While;

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MultiObjective Optimization using Evolutionary Algorithms

areas of optimization, optimal design and evolutionary computing. This text provides an excellent introduction to the use of evolutionary;

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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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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applicatio

problems with single and multi-objectives. Harmony search, artificial bee colony, teaching learning-based optimization, electrostatic discharge;

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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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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

optimization algorithms for the benefit of the audience in different domains Outlines design, analysis, and implementation of optimization;

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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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Genetic Algorithms And Engineering Design

examples. Written by two internationally acknowledged experts in the field, Genetic Algorithms and Engineering Design features original material;

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Cost Optimization Of Structures

pioneering text for graduate students and researchers working in building design and structural optimization.;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Multi-Objective Optimization Using Evolu

optimization and on a number of classical approaches. This integrated presentation of theory, algorithms and examples will benefit those working;

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Global Optimization Methods In Geophysical Inversion

, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty;

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Global Optimization Methods in Geophysical Inversion

, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty;

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Designing Engineering Structures using Stochastic Optimization Methods

, manufacturing process and fluids-heat transfer, are described in the book. For each design optimization problem described, background is provided for;

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Model Predictive Control

, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for;

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Metaheuristics

efficient metaheuristics for multi-objective optimization problems Designing hybrid, parallel, and distributed metaheuristics Implementing;

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Recent Advances in Optimal Structural Design

algorithms, the role of optimization during the various stages of structural design, and the stochastic nature of design in relation to structural;

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Genetic Algorithms And Engineering Optimization

design and routing Genetic Algorithms and Engineering Optimization is an indispensable working resource for industrial engineers and designers;

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Deterministic Operations Research

Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and;

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Optimization Problems in Graph Theory

applications to the design of efficient algorithms for optimization problems. Topics covered in this work include: * Algorithmic aspects of problems;

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