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ORCIDNatural Intelligence for Scheduling, Planning and Packing Problems 2009
- Raymond Chiong, Sandeep Dhakal
:
Natural Intelligence for Scheduling, Planning and Packing Problems. Studies in Computational Intelligence 250, Springer 2009, ISBN 978-3-642-04038-2 - Maksud Ibrahimov, Arvind Mohais, Zbigniew Michalewicz:
Global Optimization in Supply Chain Operations. 1-28 - Thomas Weise, Alexander Podlich, Christian Gorldt:
Solving Real-World Vehicle Routing Problems with Evolutionary Algorithms. 29-53 - S. M. Kamrul Hasan, Ruhul A. Sarker, Daryl Essam, David Cornforth:
A Genetic Algorithm with Priority Rules for Solving Job-Shop Scheduling Problems. 55-88 - Mansour Eddaly, Bassem Jarboui, Patrick Siarry, Abdelwaheb Rebaï:
An Estimation of Distribution Algorithm for Flowshop Scheduling with Limited Buffers. 89-110 - Tom Lenaerts, Anne Defaweux:
Solving Hierarchically Decomposable Problems with the Evolutionary Transition Algorithm. 111-143 - Ajoy Kumar Palit, Walter Anheier, Dobrivoje Popovic:
Electrical Load Forecasting Using a Neural-Fuzzy Approach. 145-173 - Tim Hendtlass:
Quantised Problem Spaces and the Particle Swarm Algorithm. 175-193 - Andrew Koh:
A Coevolutionary Particle Swarm Algorithm for Bi-Level Variational Inequalities: Applications to Competition in Highway Transportation Networks. 195-217 - Bülent Çatay:
Ant Colony Optimization and Its Application to the Vehicle Routing Problem with Pickups and Deliveries. 219-244 - Carolina Salto, Guillermo Leguizamón, Enrique Alba, Juan M. Molina:
Evolutionary and Ant Colony Optimization Based Approaches for a Two-Dimensional Strip Packing Problem. 245-266 - Walter D. Potter, Eric Drucker, Pete Bettinger, Frederick Maier, Max Martin, D. Luper, M. Watkinson, G. Handy, C. Hayes:
Diagnosis, Configuration, Planning, and Pathfinding: Experiments in Nature-Inspired Optimization. 267-294 - Ana Madureira, Joaquim Santos, Ivo Pereira:
A Hybrid Intelligent System for Distributed Dynamic Scheduling. 295-324
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