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Optimization in Industry: Present Practices and Future Scopes (Management and Industrial Engineering)
Optimization in Industry: Present Practices and Future Scopes (Management and Industrial Engineering)

This book describes different approaches for solving industrial problems like product design, process optimization, quality enhancement, productivity improvement and cost minimization. Several optimization techniques are described. The book covers case studies on the applications of classical as well as evolutionary and swarm...

Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition
Docker on Windows: From 101 to production with Docker on Windows, 2nd Edition

Learn how to run new and old applications in Docker containers on Windows - modernizing the architecture, improving security and maximizing efficiency.

Key Features

  • Run .NET Framework and .NET Core apps in Docker containers for efficiency, security and portability
  • Design...
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition
Docker Cookbook: Over 100 practical and insightful recipes to build distributed applications with Docker , 2nd Edition

Leverage Docker to deploying software at scale

Key Features

  • Leverage practical examples to manage containers efficiently
  • Integrate with orchestration tools such as Kubernetes for controlled deployments
  • Learn to implement best practices on improving...
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement...
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Soft Computing for Problem Solving: SocProS 2018, Volume 2 (Advances in Intelligent Systems and Computing)
Soft Computing for Problem Solving: SocProS 2018, Volume 2 (Advances in Intelligent Systems and Computing)
This two-volume book presents the outcomes of the 8th International Conference on Soft Computing for Problem Solving, SocProS 2018. This conference was a joint technical collaboration between the Soft Computing Research Society, Liverpool Hope University (UK), and Vellore Institute of Technology (India), and brought together researchers,...
Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
Mastering Docker
Mastering Docker

Rethink what's possible with Docker – become an expert in the innovative containerization tool to unlock new opportunities in the way you use and deploy software

About This Book

  • Create highly scalable applications and services using the Linux container virtualization paradigm
  • ...
Genetic Algorithms in Electromagnetics
Genetic Algorithms in Electromagnetics
A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems

Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It...

Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)
Swarm Intelligence (The Morgan Kaufmann Series in Evolutionary Computation)

Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of...

Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Multi-Objective Swarm Intelligent Systems: Theory & Experiences (Studies in Computational Intelligence)
Recently, a new class of heuristic techniques, the swarm intelligence has emerged. In this context, more recently, biologists and computer scientists in the field of “artificial life” have been turning to insects for ideas that can be used for heuristics. Many aspects of the collective activities of social insects,...
An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
An Introduction to Modeling and Simulation of Particulate Flows (Computational Science and Engineering)
The relatively recent increase in computational power available for mathematical modeling and simulation raises the possibility that modern numerical methods can play a significant role in the analysis of complex particulate flows. This introductory monograph focuses on basic models and physically based computational solution strategies for the...
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