# Optimization Algorithms: Methods and Applications

ITexLi | 2016 | ISBN: 9535125931 9535125923 | 319 Pages | PDF | 81 MB

This book covers state-of-the-art optimization methods and their applications in wide range especially for researchers and practitioners who wish to improve their knowledge in this field.

The book consists chapters divided into two parts: (I) Engineering applications, which presents some new applications of different methods, and (II) Applications in various areas, where recent contributions of state-of-the-art optimization methods to diverse fields are presented.

Contents

Preface

1 Genetic Algorithm Optimization of an Energy Storage System Design and Fuzzy Logic Supervision for Battery Electric Vehicles

2 The Future of Central European Cities - Optimization of a Cellular Automaton for the Spatially Explicit Prediction of Urban Sprawl

3 Inverse Geometry Design of Radiative Enclosures Using Particle Swarm Optimization Algorithms

4 Shape Optimization of Busemann-Type Biplane Airfoil for Drag Reduction Under Non-Lifting and Lifting Conditions Using Genetic Algorithms

5 Performance Analysis of the Differential Evolution and Particle Swarm Optimization Algorithms in Cooperative Wireless Communications

6 Genetic Algorithm-Based Approaches for Solving Inexact Optimization Problems and their Applications for Municipal Solid Waste Management

7 Optimization Algorithms for Chemoinformatics and Material-informatics

8 Optimization Algorithms in Project Scheduling

9 Survey of Meta-Heuristic Algorithms for Deep Learning Training 1

10 Design and Characterization of EUV and X-ray Multilayers

11 A Clustering Approach Based on Charged Particles

12 Topology Optimization Method Considering Cleaning Procedure and Ease of Manufacturing

13 A Review and Comparative Study of Firefly Algorithm and its Modified Versions

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