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Basic Metaheuristic Optimization Algorithms
| Content Provider | Scilit |
|---|---|
| Author | Cruz, Pedro Ponce Gutiérrez, Arturo Molina Ramírez-Mendoza, Ricardo A. Flores, Efraín Méndez Espinoza, Alexandro Antonio Ortiz Silva, David Christopher Balderas |
| Copyright Year | 2020 |
| Description | The most basic form of search is to look at all possible solutions and to decide which one is the best. This method is called exhaustive search or brute force method. Although this search ideally guarantees the finding of an optimal solution, the time it requires is high, and in some cases, it is inefficient. As an alternative, it is possible to use an algorithm that limits the search using some kind of heuristics. Book Name: A Practical Approach to Metaheuristics Using LabVIEW and MATLAB® |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2019-0-00305-3&isbn=9780429324413&doi=10.1201/9780429324413-5&format=pdf |
| Ending Page | 64 |
| Page Count | 4 |
| Starting Page | 61 |
| DOI | 10.1201/9780429324413-5 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-06-08 |
| Access Restriction | Open |
| Subject Keyword | Book Name: A Practical Approach To Metaheuristics Using Labview and Matlab® Artificial Intelligence Cybernetical Science Optimal Ideally Guarantees Search Ideally Exhaustive Search Force Method Basic Metaheuristic Called Exhaustive Metaheuristic Optimization Brute Force |
| Content Type | Text |
| Resource Type | Chapter |
