Metaheuristics: Progress as Real Problem Solvers
Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper...
Συγγραφή απο Οργανισμό/Αρχή: | |
---|---|
Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Boston, MA :
Springer US,
2005.
|
Σειρά: | Operations Research/Computer Science Interfaces Series,
32 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited Paper
- Metaheuristic Agent Processes (MAPS)
- Tutorial Paper
- GRASP with Path-Relinking: Recent Advances and Applications
- Papers on Problem Solving
- A Tabu Search Heuristic for a University Timetabling Problem
- An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic
- Validation and Optimization of an Elevator Simulation Model with Modern Search Heuristics
- Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetabling
- Theory and Practice of the Minimum Shift Design Problem
- Local Search Algorithms for the Two-Dimensional Cutting Stock Problem with a Given Number of Different Patterns
- A Generic Object-Oriented Tabu Search Framework
- Bi-Objective Sequencing of Cutting Patterns
- Metaheuristics Approach for Rule Acquisition in Flexible Shop Scheduling Problems
- Predicting Colorectal Cancer Recurrence: A Hybrid Neural Networks-Based Approach
- A Constructive Genetic Approach to Point-Feature Cartographic Label Placement
- Papers on Methodologies
- Parallel Strategies for Grasp with Path-Relinking
- Speeding Up Local Search Neighborhood Evaluation for A Multi-Dimensional Knapsack Problem
- Computationally Difficult Instances for the Uncapacitated Facility Location Problem
- Consistent Neighbourhood in a Tabu Search
- Constraint Oriented Neighbourhoods — A New Search Strategy in Metaheuristics.