Evolutionary scheduling
Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are ofte...
שמור ב:
| מחבר ראשי: | |
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| מחברים אחרים: | , , |
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2007. |
| סדרה: | Studies in Computational Intelligence
49 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Evolutionary scheduling, edited by Keshav Dahal, Kay Chen Tan and Peter I. Cowling, Berlin, Springer, 2007, xi, 628 p., Studies in computational intelligence, 978-3-540-48582-7 • Evolutionary Scheduling, Texte imprimé, 9783540832461 • Evolutionary Scheduling, Texte imprimé, 9783642080173 • Evolutionary scheduling, edited by Keshav Dahal, Kay Chen Tan and Peter I. Cowling, Berlin, Springer, 2007, xi, 628 p., Studies in computational intelligence, 978-3-540-48582-7 |
תוכן הענינים:
- Methodology Memetic Algorithms in Planning, Scheduling, and Timetabling Landscapes, Embedded Paths and Evolutionary Scheduling Classical and Non-Classical Models of Production Scheduling Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes Designing Dispatching Rules to Minimize Total Tardiness A Robust Meta-Hyper-Heuristic Approach to Hybrid Flow-Shop Scheduling Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem Timetabling Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem Metaheuristics for University Course Timetabling Energy Applications Optimum Oil Production Planning using an Evolutionary Approach A Hybrid Evolutionary Algorithm for Service Restoration in Power Distribution Systems Particle Swarm Optimisation for Operational Planning: Unit Commitment and Economic Dispatch Evolutionary Generator Maintenance Scheduling in Power Systems Networks Evolvable Fuzzy Scheduling Scheme for Multiple-ChannelPacket Switching Network A Multi-Objective Evolutionary Algorithm for Channel Routing Problems Transport Simultaneous Planning and Scheduling for Multi-Autonomous Vehicles Scheduling Production and Distribution of Rapidly Perishable Materials with Hybrid GA's A Scenario-based Evolutionary Scheduling Approach for Assessing Future Supply Chain Fleet Capabilities Business Evolutionary Optimization of Business Process Designs Using a Large Set of Low Level Heuristics in a Hyperheuristic Approach to Personnel Scheduling A Genetic-Algorithm-Based Reconfigurable Scheduler Evolutionary Algorithm for an Inventory Location Problem