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.

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 CompoundCombinatorial Problems”.- Tabu Search.- Ch. 20 “Tabu Search, Combination and Integration”.- 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 RoutingProblem”.- Ch. 41 “Fast Local Search Algorithms for the Handicapped Persons Transportation Problem”.

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