Contents

Introduction
Part I Optima_AG – users manual
1. Installation
    Step 1
    Step 2
    Step 3
2. Introducing Optima_AG
    Opening example problem
    Example problem - description
    Opening Optima_AG
    Pointing an objective function
    Choosing a problem
    Using existing data
    Pointing a solution vector
    Constraints
    Integer solution vector
    Determining stoping criteria
    Starting optimization
    Running optimization
    Final remarks
3. Proportion problem
    Order
    Portfolio
    Advertising campaign
4. Budget problem
5. Ordering problem
    Traveling salesman problem (without constraints)
    Assembly schedule (without constraints)
6. Project
    Traveling salesman problem (with constraints)
    Assembly schedule (with constraints)
7. Grouping
    Goods loading
    Charter schedule (without constraints)
8. Scheduling
    Delivery schedule
    Charter schedule (with constraints)
    Courses schedule
9. Runtime errors
Part II Introduction to Genetic Algorithm
Introduction
1. Simple genetic algorithm
     Simple description
     Mathematical definition
2. Mathematical  considerations
3. Improvements on simple genetic algorithm
     Genotype representation, diploid and domination
     Selection
     Genetic operators
     Fitness function characteristics
     Multi-criteria optimization
     Improvement trends
     Real coded solutions
 References