Metaheuristics for Combinatorial Optimization

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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.