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...
সংরক্ষণ করুন:
| অন্যান্য লেখক: | , |
|---|---|
| বিন্যাস: | Livre numérique |
| ভাষা: | Anglais |
| প্রকাশিত: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| সংস্করন: | 1st ed. 2009. |
| মালা: | Studies in Computational Intelligence
250 |
| অনলাইন ব্যবহার করুন: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| টীকা: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Natural Intelligence for Scheduling, Planning and Packing Problems, Texte imprimé, 9783642040382 • Natural Intelligence for Scheduling, Planning and Packing Problems, Texte imprimé, 9783642040665 • Natural Intelligence for Scheduling, Planning and Packing Problems, Texte imprimé, 9783642040382 • Natural Intelligence for Scheduling, Planning and Packing Problems, Texte imprimé, 9783642260612 |
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| 009 | PPN139962123 | ||
| 020 | |a 9783642040399 | ||
| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 245 | 0 | 0 | |a Natural intelligence for scheduling, planning and packing problems |c edited by Raymond Chiong, Sandeep Dhakal. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 250 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 scheduling, planning and packing using different kinds of methods. However, poor scaling and the lack of flexibility of many of the conventional methods coupled with the fact that most of the real-world problems across the application areas of scheduling, planning and packing nowadays tend to be of large scale, dynamic and full of complex dependencies have made it necessary to tackle them in unconventional ways. This volume, "Natural Intelligence for Scheduling, Planning and Packing Problems", is a collection of numerous natural intelligence based approaches for solving various kinds of scheduling, planning and packing problems. It comprises 12 chapters which present many methods that draw inspiration from nature, such as evolutionary algorithms, neural-fuzzy system, particle swarm algorithms, ant colony optimisation, extremal optimisation, raindrop optimisation, and so on. Problems addressed by these chapters include freight transportation, job shop scheduling, flowshop scheduling, electrical load forecasting, vehicle routing, two-dimensional strip packing, network configuration and forest planning, among others. Along with solving these problems, the contributing authors present a lively discussion of the various aspects of the nature-inspired algorithms utilised, providing very useful and important new insights into the research areas | ||
| 700 | 1 | |a Chiong, Raymond, |d 19..- |4 pbd | |
| 700 | 1 | |a Dhakal, Sandeep. |4 pbd | |
| 776 | 0 | |t Natural Intelligence for Scheduling, Planning and Packing Problems |b Texte imprimé |z 9783642040382 | |
| 776 | 0 | |t Natural Intelligence for Scheduling, Planning and Packing Problems |b Texte imprimé |z 9783642040665 | |
| 776 | 0 | |t Natural Intelligence for Scheduling, Planning and Packing Problems |b Texte imprimé |z 9783642040382 | |
| 776 | 0 | |t Natural Intelligence for Scheduling, Planning and Packing Problems |b Texte imprimé |z 9783642260612 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-04039-9 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-JKCVF237-F |z Accès sur la plateforme Istex | |
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