Optimization Algorithms AI Techniques for Design, Planning, and Control Problems
Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization...
Autor principal: | |
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Formato: | Libro electrónico |
Idioma: | Inglés |
Publicado: |
New York :
Manning Publications Co. LLC
2024.
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Edición: | 1st ed |
Materias: | |
Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009853634806719 |
Tabla de Contenidos:
- Part 1. Deterministic search algorithms. Introduction to search and optimization
- A deeper look at search and optimization
- Blind search algorithms
- Informed search algorithms
- Part 2. Trajectory-based algorithms. Simulated annealing
- Tabu search
- Part 3. Evolutionary computing algorithms. Genetic algorithms
- Genetic algorithm variants
- Part 4. Swarm intelligence algorithms. Particle swarm optimization
- Other swarm intelligence algorithms to explore
- Part 5. Machine learning-based methods. Supervised and unsupervised learning
- Reinforcement learning.