الگوریتم های ژنتیک برای تصمیم گیری

• This document appears to be a textbook or academic material in Farsi about decision-making based on genetic algorithms and their application in optimization.
• The author is Dr. Ahmad Sadeghieh, an associate professor at Yazd University.

Contents Overview

• The book covers fundamental concepts, genetic algorithm structures, and applications in optimization.
• It introduces the Evolver software.
• It includes examples and applications in various fields.

Chapter 1: Introduction

• Introduces the concept of genetic algorithms.
• Discusses genetics as the study of life.
• Explains chromosomes and evolution.
• It emphasizes that imitating nature and discovering its pathways is an important topic in various branches of human sciences.
• The birth of computers in the 1940s revolutionized computer science and expanded the scope of issues studied.
• It explores the use of innovative methods to estimate the best answer more accurately and in less time.
• Professor Holland laid the foundation for the genetic algorithm.

Chapter 2: Genetic Algorithm and Its Structure

• Covers the definition and structure of genetic algorithms
• Covers the terminology used in genetic algorithms.
• The genetic algorithm imitates the natural evolution of Darwin.
• Emphasizes that to perform genetic algorithms it is necessary to have an initial population.
• The core component of genetic algorithms relies search for individuals within a population of potential solutions.
• These operators include crossover (combination) and mutation (change).

Chapter 3: Optimization Based on Genetic Algorithm

• Discusses the use of genetic algorithms to solve optimization problems.
• Highlights that evolutionary algorithms solve optimization problems in the actual world.

Chapter 4: Applications of Genetic Algorithm

• Provides various applications of Genetic algorithms.
• Covers transportation problems.
• Discusses job scheduling problems in workshops.
• Includes robots and pathfinding tasks.
• Covers maintenance scheduling and highway repairs.
• Focuses on assembling computer boards using a genetic algorithm.
• Touches on strategic planning of the marketing.

Chapter 5: Introducing EVOLVER Software

• The chapter introduces the Evolver software.
• Provides a step-by-step walkthrough of Evolver.
• Lists some sample applications.
• Includes advertisement selection.
• Covers alphabetizing a name list.
• Includes allocating tasks, bakeries, and budget allocation.
• Mentions chemical balancing.
• Covers Class Scheduling
• Mentions Code Parsing
• Discusses routing with limitations.
• Scheduling a Job Shop Company