• Title: Simulated Annealing Afternoon: A Practical Guide for Software Developers
• Author(s) Jason Brownlee
• Publisher: AlgorithmAfternoon.com (April 21, 2024)
• Paperback: N/A
• eBook: HTML
• Language: English
• ISBN-10/ASIN: B0D2GNH8WJ
• ISBN-13: N/A
• Share This:  

Book Description

Are you a software developer looking to harness the power of Simulated Annealing (SA) to solve complex optimization problems? This book is your go-to resource for mastering this innovative and powerful technique. All implementations are in Python.

• Jason Brownlee, Ph.D. helps Python developers bring modern concurrency methods to their projects with hands-on tutorials.

• Amazon

• Operations Research (OR), Optimization, and Approximation
• Python Programming
• Algorithms and Data Structures
• Machine Learning

• Simulated Annealing Afternoon: A Practical Guide for Software Developers (Jason Brownlee)

• Particle Swarm Afternoon: A Guide for Software Developers

  Are you a software developer looking to harness the power of Particle Swarm Optimization (PSO) to solve complex optimization problems? This book is your go-to resource for mastering this innovative and powerful technique.

• Genetic Algorithm Afternoon: A Guide for Software Developers

  Are you a software developer looking to harness the power of Genetic Algorithms (GAs) to solve complex optimization problems? This book is your go-to resource for mastering this innovative and powerful technique.

• Genetic Algorithms and Genetic Programming: Concepts and Apps

  This book discusses algorithmic developments in the context of Genetic Algorithms (GAs) and Genetic Programming (GP). It applies the algorithms to significant combinatorial optimization problems and algorithm development.

• A Field Guide to Genetic Programming (Riccardo Poli, et al)

  This book to provides a complete and coherent review of the theory of Genetic Programming (GP). This unique overview of this exciting technique is written by three of the most active scientists in GP.

• Genetic Algorithms in Applications (Rustem Popa)

  This well-organized book takes the reader through the new and rapidly expanding field of genetic algorithms step by step, from a discussion of numerical optimization, to a survey of current extensions to genetic algorithms and applications.

• Real-World Applications of Genetic Algorithms (Olympia Roeva)

  This book presents hybrid techniques based on Artificial Neural Network, Fuzzy Sets, Automata Theory, other metaheuristic or classical algorithms, etc. It examines various examples of algorithms in different real-world application domains.

• Genetic and Evolutionary Computation for Image Processing

  Image analysis and processing is steadily gaining relevance within the large number of application fields to which genetic and evolutionary computation (GEC) techniques are applied. This book is the first attempt to offer a panoramic view on the field.

• Genetic Programming - New Approaches & Successful Applications

  The purpose of this book is to show recent advances in the field of Genetic programming, both the development of new theoretical approaches and the emergence of applications that have successfully solved different real world problems.

• Essentials of Metaheuristics (Sean Luke)

  This book is an open set of lecture notes on metaheuristics algorithms. The algorithmic family includes genetic algorithms, hill-climbing, simulated annealing, ant colony optimization, particle swarm optimization, and so on.

• Bio-Inspired Computational Algorithms and Their Applications

  Bio-inspired computational algorithms are always topics in artificial intelligence. Integrates contrasting techniques of genetic algorithms, artificial immune systems, particle swarm optimization, and hybrid models to solve many real-world problems.

• Evolutionary Algorithms (Eisuke Kita)

  The goal of this book is to provide effective evolutionary algorithms that have been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

• Advances in Evolutionary Algorithms (Witold Kosinski)

  Provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.

• Global Optimization Algorithms - Theory and Application

  This book is devoted to global optimization algorithms, which are methods to find optimal solutions for given problems. It especially focuses on Evolutionary Computation by discussing evolutionary algorithms, genetic algorithms, Genetic Programming, etc.