The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods showing how such concepts and methods can be addressed using the open source multi platform r tool modern optimization methods also known as metaheuristics are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed these methods often yield high quality solutions with a more reasonable use of computational . Modern optimization with r o sprin er contents 1 introduction 1 11 motivation 1 12 whyr 2 13 representation of a solution 3 14 evaluation function 3 15 constraints 4 16 optimization methods 5 17 demonstrative problems 7 2 r basics 11 21 introduction 11 22 basic objects and functions 13 23 controlling execution and writing functions 20 24 importing and exporting data 24 25 . Modern optimization methods also known as metaheuristics are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed these methods often yield high quality solutions with a more reasonable use of computational resources eg memory and processing effort examples of popular modern methods discussed in this book are simulated . The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods showing how such concepts and methods can be addressed using the open source multi platform r tool modern optimization methods also known as metaheuristics are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed these methods often yield high quality solutions with a more reasonable use of computational