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Natural Intelligence for Scheduling, Planning and Packing Problems
Scheduling, planning and packing are ubiquitous problems that can be found in a wide range of real-world settings. These problems transpire in a large variety of forms, and have enormous socio-economic impact. For many years, significant work has been devoted to automating the processes of schedulin...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
250 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Global Optimization in Supply Chain Operations
- Solving Real-World Vehicle Routing Problems with Evolutionary Algorithms
- A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems
- An Estimation of Distribution Algorithm for Flowshop Scheduling with Limited Buffers
- Solving Hierarchically Decomposable Problems with the Evolutionary Transition Algorithm
- Electrical Load Forecasting Using a Neural-Fuzzy Approach
- Quantised Problem Spaces and the Particle Swarm Algorithm
- A Coevolutionary Particle Swarm Algorithm for Bi-Level Variational Inequalities: Applications to Competition in Highway Transportation Networks
- Ant Colony Optimization and Its Application to the Vehicle Routing Problem with Pickups and Deliveries
- Evolutionary and Ant Colony Optimization Based Approaches for a Two-Dimensional Strip Packing Problem
- Diagnosis, Configuration, Planning, and Pathfinding: Experiments in Nature-Inspired Optimization
- A Hybrid Intelligent System for Distributed Dynamic Scheduling.