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Metaheuristic Optimization: Nature-Inspired Algorithms Swarm and Computational Intelligence, Theory and Applications (Studies in Computational Intelligence, 927)

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This book exemplifies how algorithms are developed by mimicking nature. Classical techniques for solving day-to-day problems is time-consuming and cannot address complex problems. Metaheuristic algorithms are nature-inspired optimization techniques for solving real-life complex problems. This book emphasizes the social behaviour of insects, animals and other natural entities, in terms of converging power and benefits. Major nature-inspired algorithms discussed in this book include the bee colony algorithm, ant colony algorithm, grey wolf optimization algorithm, whale optimization algorithm, firefly algorithm, bat algorithm, ant lion optimization algorithm, grasshopper optimization algorithm, butterfly optimization algorithm and others. The algorithms have been arranged in chapters to help readers gain better insight into nature-inspired systems and swarm intelligence. All the MATLAB codes have been provided in the appendices of the book to enable readers practice how to solve examples included in all sections. This book is for experts in Engineering and Applied Sciences, Natural and Formal Sciences, Economics, Humanities and Social Sciences.
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Mastering Bitcoin: Unlocking Digital Cryptocurrencies
Mastering Bitcoin: Unlocking Digital Cryptocurrencies

Mastering Bitcoin is essential reading for everyone interested in learning about bitcoin basics, the technical operation of bitcoin, or if you're building the next great bitcoin killer app or business. From using a bitcoin wallet to buy a cup of coffee, to running a bitcoin marketplace with hundreds of thousands of transactions, or...

The Little Book of Trading: Trend Following Strategy for Big Winnings
The Little Book of Trading: Trend Following Strategy for Big Winnings

How to get past the crisis and make the market work for you again

The last decade has left people terrified of even the safest investment opportunities. This fear is not helping would-be investors who could be making money if they had a solid plan. The Little Book of Trading teaches the average person rules...

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Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python

Simplified Python programming for Bitcoin and blockchain

Key Features

  • Build Bitcoin applications in Python with the help of simple examples
  • Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots
  • Analyze Bitcoin...

Programming Bitcoin: Learn How to Program Bitcoin from Scratch
Programming Bitcoin: Learn How to Program Bitcoin from Scratch

Dive into Bitcoin technology with this hands-on guide from one of the leading teachers on Bitcoin and Bitcoin programming. Author Jimmy Song shows Python programmers and developers how to program a Bitcoin library from scratch. You’ll learn how to work with the basics, including the math, blocks, network, and...

Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

*** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book ***

This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python.

A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring...

Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

About this book

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both...

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