Cortez P. Modern Optimization with R 2ed 2021

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Modern optimization, also known as metaheuristics, is related with generalpurpose solvers based on computational methods that use few domain knowledge from the addressed task, iteratively improving an initial solution (or population of solutions) to optimize a problem. Modern optimization is particularly useful for solving complex problems for which no specialized optimization algorithm has been developed, such as problems with discontinuities, dynamic changes, multiple objectives, and hard and soft restrictions, which cannot be handled easily by classical operational research methods