Natural Intelligence for Scheduling, Planning and Packing Problems
Autor Corporativo: | |
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Otros Autores: | , |
Formato: | eBook |
Lenguaje: | English |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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Edición: | 1st ed. 2009. |
Colección: | Studies in Computational Intelligence,
250 |
Materias: | |
Acceso en línea: | https://doi.org/10.1007/978-3-642-04039-9 |
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.