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...

Descripción completa

Detalles Bibliográficos
Autor principal: Khamis, Alaa (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Manning Publications Co. LLC 2024.
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.