Meta-heuristic and evolutionary algorithms for engineering optimization
A detailed review of a wide range of meta-heuristic and evolutionary algorithms in a systematic manner and how they relate to engineering optimization problems This book introduces the main metaheuristic algorithms and their applications in optimization. It describes 20 leading meta-heuristic and ev...
| Otros Autores: | , , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Hoboken, New Jersey :
Wiley
2017.
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| Edición: | 1st edition |
| Colección: | Wiley series in operations research and management science.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630656806719 |
Tabla de Contenidos:
- Overview of optimization
- Introduction to meta-heuristic and evolutionary algorithms
- Pattern search
- Genetic algorithm
- Simulated annealing
- Tabu search
- Ant colony optimization
- Particle swarm optimization
- Differential evolution
- Harmony search
- Shuffled frog-leaping algorithm
- Honey-bee mating optimization
- Invasive weed optimization
- Central force optimization
- Biogeography-based optimization
- Firefly algorithm
- Gravity search algorithm
- Bat algorithm
- Plant propagation algorithm
- Water cycle algorithm
- Symbiotic organisms search
- Comprehensive evolutionary algorithm.
