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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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Σειρά: | Studies in Computational Intelligence,
49 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.