Meta-Heuristics

Theory and Applications

By: Ibrahim H. Osman (Editor), James P. Kelly (Editor)

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Hardcover | 31 March 1996

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704 Pages

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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 procedures, genetic algorithms, problem-space search, neural networks, simulated annealing, tabu search, threshold algorithms, and their hybrids. They incorporate concepts based on biological evolution, intelligent problem solving, mathematical and physical sciences, nervous systems, and statistical mechanics. Since the 1980s, a great deal of effort has been invested in the field of combinatorial optimization theory in which heuristic algorithms have become an important area of research and applications.
This volume is drawn from the first conference on Meta-Heuristics and contains 41 papers on the state-of-the-art in heuristic theory and applications. The book treats the following meta-heuristics and applications: Genetic Algorithms, Simulated Annealing, Tabu Search, Networks & Graphs, Scheduling and Control, TSP, and Vehicle Routing Problems. It represents research from the fields of Operations Research, Management Science, Artificial Intelligence and Computer Science.

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Meta-Heuristics: An Overview	p. 1
A Parallel Genetic Algorithm for the Set Partitioning Problem	p. 23
Evolutionary Computation and Heuristics	p. 37
Gene Pool Recombination in Genetic Algorithms	p. 53
Genetic and Local Search Algorithms as Robust and Simple Optimization Tools	p. 63
Comparison of Heuristic Algorithms for the Degree Constrained Minimum Spanning Tree	p. 83
An Aggressive Search Procedure for the Bipartite Drawing Problem	p. 97
Guided Search for the Shortest Path on Transportation Networks	p. 115
A Metaheuristic for the Timetabling Problem	p. 133
Complex Sequencing Problems and Local Search Heuristics	p. 151
Heuristic Algorithms for Single Processor Scheduling with Earliness and Flow Time Penalties	p. 167
Heuristics for the Optimal Control of Thermal Energy Storage	p. 183
Exploiting Block Structure to Improve Resource-Constrained Project Schedules	p. 203
Combining the Large-Step Optimization with Tabu-Search: Application to The Job-Shop Scheduling Problem	p. 219
Job-Shop Scheduling by Simulated Annealing Combined with Deterministic Local Search	p. 237
Cybernetic Optimization of Simulated Annealing: An Implementation of Parallel Processing Using Probabilistic Feedback Control	p. 249
A Simulated Annealing Algorithm for the Computation of Marginal Costs of Telecommunication Links	p. 265
Learning to Recognize (Un) Promising Simulated Annealing Runs: Efficient Search Procedures for Job Shop Scheduling and Vehicle Routing	p. 277
A Preliminary Investigation into the Performance of Heuristic Search Methods Applied to Compound Combinatorial Problems	p. 299
Tabu Search, Combination and Integration	p. 319
Vector Quantization with the Reactive Tabu Search	p. 331
Tabu Thresholding for the Frequency Assignment Problem	p. 343
A New Tabu Search Approach to the 0-1 Equicut Problem	p. 361
Simple Tabu Thresholding and the Pallet Loading Problem	p. 379
Critical Event Tabu Search for Multidimensional Knapsack Problems	p. 407
Solving Dynamic Stochastic Control Problems in Finance Using Tabu Search with Variable Scaling	p. 429
Comparison of Heuristics for the 0-1 Multidimensional Knapsack Problem	p. 449
Probabilistic Move Selection in Tabu Search for Zero-One Mixed Integer Programming Problems	p. 467
A Star-Shaped Diversification Approach in Tabu Search	p. 489
Communication Issues in Designing Cooperative Multi-Thread Parallel Searches	p. 503
A Study on Algorithms for Selecting r Best Elements from An Array	p. 523
A Modified Tabu Thresholding Approach for the Generalised Restricted Vertex Colouring Problem	p. 537
Chunking Applied to Reactive Tabu Search	p. 555
Tabu Search on the Geometric Traveling Salesman Problem	p. 571
Mixing Different Components of Metaheuristics	p. 589
A Probabilistic Analysis of Local Search	p. 605
The Clustered Traveling Salesman Problem: A Genetic Approach	p. 619
A Tabu Search Based Heuristic for Arc Routing with a Capacity Constraint and Time Deadline	p. 633
Supervision in the Self-Organizing Feature Map: Application to the Vehicle Routing Problem	p. 651
A Parallel Tabu Search Algorithm Using Ejection Chains for the Vehicle Routing Problem	p. 661
Fast Local Search Algorithms for the Handicapped Persons Transportation Problem	p. 677
Table of Contents provided by Blackwell. All Rights Reserved.

Meta-Heuristics

Theory and Applications

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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