Natural Intelligence for Scheduling, Planning and Packing Problems - Chiong, Raymond; Dhakal, Sandeep; SpringerLink (Online service) (Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009)
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.
Keywords: Artificial intelligence; Production management; Information technology; Business-Data processing; Applied mathematics; Engineering mathematics; Operations research; Decision making; Artificial Intelligence; Operations Management; IT in Business; Mathematical and Computational Engineering; Operations Research/Decision Theory