Titlebook: Benchmarks and Hybrid Algorithms in Optimization and Applications; Xin-She Yang Book 2023 The Editor(s) (if applicable) and The Author(s),

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Nicolas J. Mueller,Jay A. Fishmanalgorithms are a class of metaheuristic algorithms for optimization, and some algorithms or variants are often developed by hybridization. Benchmarking is also important in evaluating the performance of optimization algorithms. This chapter focuses on the overview of optimization, nature-inspired al

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Charles M. Helms,William M. Nauseef the algorithm under consideration. Thus, proper parameter tuning should be carried out to ensure the algorithm used for optimization may perform well and can be sufficiently robust for solving different types of optimization problems. This chapter reviews some of the main methods for parameter tuni

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Surendran Deepanjali,Tamilarasu Kadhiravanoducible and comparable. In this work, we will resume three resolution case studies of Discrete Cuckoo Search (DCS) with the aim of providing an algorithm benchmarking. The resolution case studies are three Combinatorial Optimization Problems (COPs): Quadratic Assignment (QAP), Travelling Salesman (

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Treatment and Prevention of Shunt Infection,eveloping an automatic system for forest fire prevention using Internet of Things (IoT), an intelligent system that can help to prevent the total loss of properties in the specific type of log cabins—which are a second home used as rest or recreation—and will also be useful to protect the pets that