Titlebook: Handbook of Metaheuristics; Michel Gendreau,Jean-Yves Potvin Book 2019Latest edition Springer International Publishing AG, part of Springe

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Swarm Intelligence, those of insects or animals. SI is seen as a new concept of AI and is becoming increasingly accepted in the literature. SI techniques are typically inspired by natural phenomena, and they have exhibited remarkable capabilities in solving problems that are often perceived to be challenging to conven

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A Classification of Hyper-Heuristic Approaches: Revisited,ous categorisations of hyper-heuristics and provides a unified classification and definition. We distinguish between two main hyper-heuristic categories: heuristic . and heuristic .. Some representative examples of each category are discussed in detail and recent research trends are highlighted.

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Stochastic Search in Metaheuristics,form of a stochastic search process that contains a large variety of familiar metaheuristic techniques as special cases. Based on this unified view, questions concerning convergence and runtime are discussed at the level of a theoretical analysis. Concrete examples from diverse metaheuristic fields

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Automated Design of Metaheuristic Algorithms,blems being tackled, the large number of degrees of freedom when designing an algorithm and setting its numerical parameters, and the difficulties of algorithm analysis due to heuristic biases and stochasticity. Traditionally, this design and development has been done through a manual, labor-intensi

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Computational Comparison of Metaheuristics, colony optimization, tabu search, harmony search, and genetic algorithms have emerged. Due to the unique functionality of each type of metaheuristic, the computational comparison of metaheuristics is in many ways more difficult than other algorithmic comparisons. In this chapter, we discuss techniq

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