Meta-Heuristics Theory and Applications
Meta-heuristics have developed dramatically since their inception in the early 1980s. They have had widespread success in attacking a variety of practical and difficult combinatorial optimization problems. These families of approaches include, but are not limited to greedy random adaptive search pro...
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
1996, 1996
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| Edition: | 1st ed. 1996 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- Ch. 21 “Vector Quantization with the Reactive Tabu Search”
- Ch. 22 “Tabu Thresholding for the Frequency Assignment Problem”
- Ch. 23 “A New Tabu Search Approach to the 0–1 Equicut Problem”
- Ch. 24 “Simple Tabu Thresholding and the Pallet Loading Problem”
- Ch. 25 “Critical Event Tabu Search for Multidimensional Knapsack Problems”
- Ch. 26 “Solving Dynamic Stochastic Control Problems in Finance Using Tabu Search with Variable Scaling”
- Ch. 27 “Comparison of Heuristics for the 0–1 Multidimensional Knapsack Problem”
- Ch. 28 “Probabilistic Move Selection in Tabu Search for Zero-One Mixed Integer Programming Problems”
- Ch. 29 “A Star-Shaped Diversification Approach in Tabu Search”
- Ch. 30 “Communication Issues in Designing Cooperative Multi-Thread Parallel Searches”
- Ch. 31 “A Study on Algorithms for Selecting r Best Elements from An Array”
- Ch. 32 “A Modified Tabu Thresholding Approach for the Generalised Restricted Vertex Colouring Problem”
- Ch. 33 “Chunking Applied to Reactive Tabu Search”
- Ch. 34 “Tabu Search on the Geometric Traveling Salesman Problem”
- Traveling Salesman Problems
- Ch. 35 “Mixing Different Components of Metaheuristics”
- Ch. 36 “A Probabilistic Analysis of Local Search”
- Ch. 37 “The Clustered Traveling Salesman Problem: A Genetic Approach”
- Vehicle Routing Problems
- Ch. 38 “A Tabu Search Based Heuristic for Arc Routing with a Capacity Constraint and Time Deadline”
- Ch. 39 “Supervision in the Self-Organizing Feature Map: Application to the Vehicle Routing Problem”
- Ch. 40 “A Parallel Tabu Search Algorithm Using Ejection Chains for the Vehicle Routing Problem”
- Ch. 41 “Fast Local Search Algorithms for the Handicapped Persons Transportation Problem”
- Ch. 1 “Meta-Heuristics: An Overview”
- Genetic Algorithms
- Ch. 2 “A Parallel Genetic Algorithm for the Set Partitioning Problem”
- Ch. 3 “Evolutionary Computation and Heuristics”
- Ch. 4 “Gene Pool Recombination in Genetic Algorithms”
- Ch. 5 “Genetic and Local Search Algorithms as Robust and Simple Optimization Tools”
- Networks and Graphs
- Ch. 6 “Comparison of Heuristic Algorithms for the Degree Constrained Minimum Spanning Tree”
- Ch. 7 “An Aggressive Search Procedure for the Bipartite Drawing Problem”
- Ch. 8 “Guided Search for the Shortest Path on Transportation Networks”
- Scheduling and Control
- Ch. 9 “A Metaheuristic for the Timetabling Problem”
- Ch. 10 “Complex Sequencing Problems and Local Search Heuristics”
- Ch. 11 “Heuristic Algorithms for Single Processor Scheduling with Earliness and Flow Time Penalties”
- Ch. 12 “Heuristics for the Optimal Control of Thermal Energy Storage”
- Ch. 13 “Exploiting Block Structure to Improve Resource-Constrained Project Schedules”
- Ch. 14 “Combining the Large-Step Optimization with Tabu-Search: Application to The Job-Shop Scheduling Problem”
- Ch. 15 “Job-Shop Scheduling by Simulated Annealing Combined with Deterministic Local Search”
- Simulated Annealing
- Ch. 16 “Cybernetic Optimization by Simulated Annealing: An Implementation of Parallel Processing Using Probabilistic Feedback Control”
- Ch. 17 “A Simulated Annealing Algorithm for the Computation of Marginal Costs of Telecommunication Links”
- Ch. 18 “Learning to Recognize (Un) Promising Simulated Annealing Runs: Efficient Search Procedures for Job Shop Scheduling and Vehicle Routing”
- Ch. 19 “A Preliminary Investigation into the Performance of Heuristic Search Methods Applied to Compound Combinatorial Problems”
- Tabu Search
- Ch. 20 “Tabu Search, Combination and Integration”