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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Dahal, Keshav P. (Επιμελητής έκδοσης), Tan, Kay Chen (Επιμελητής έκδοσης), Cowling, Peter I. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2007.
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.