This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants.
The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas.
Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.
This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants.
The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas.
Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.
Salvatore Greco
Single-Solution Based Metaheuristics Population-Based Metaheuristics Continuous, Discrete & Mixed Optimization Multi-Objective Optimization Metaheuristics in Machine Learning Metaheuristics in Data Analytics & Big Data Mathematical Programming Exact Methods Metaheuristics in Dynamic Environments Metaheuristics in Uncertainty Management Parallel Metaheuristics Hybrid Metaheuristics Interactive Evolutionary Multiobjective Optimization