TABU SEARCH BACKGROUND General Tenets Use of Memory Intensification and Diversification Adaptive Memory Programming Is Memory Really a Good Idea? Points of Departure Elements of Adaptive Memory Historical Note on Tabu Search Historical Note on Meta-Heuristics Discussion Questions and Exercises
	TS FOUNDATIONS: SHORT TERM MEMORY Memory and Tabu Classifications Recency-Based Memory A First Level Tabu Search Approach Recency-Based Memory for Add/Drop Moves Tabu Tenure Discussion Questions and Exercises
	TS FOUNDATIONS: ADDITIONAL ASPECTS OF SHORT TERM MEMORY Tabu Search and Candidate List Strategies Some General Classes of Candidate List Strategies Connections Between Candidate Lists, Tabu Status and Aspiration Criteria Logical Restructuring Special Cases and Extensions of Recency-Based Implementations Discussion Questions and Exercises
	TS FOUNDATIONS: LONGER TERM MEMORY Frequency-Based Approach Intensification Strategies Diversification Strategies Strategic Oscillation Path Relinking The Intensification / Diversification Distinction Some Basic Memory Structures for Longer Term Strategies Discussion Questions and Exercises
	TABU SEARCH PRINCIPLES Influence and Measures of Distance and Diversity The Principle of Persistent Attractiveness The Principle of Persistent Voting Compound Moves, Variable Depth and Ejection Chains The Proximate Optimality Principle The Principle of Congenial Structures The Pyramid Principle The Space/Time Principle Discussion Questions and Exercises
	TABU SEARCH IN INTEGER PROGRAMMING A Tabu Branching Method Tabu Search and Cut Search Cut Search Star Paths for Integer Programs Branching on Created Variables Discussion Questions and Exercises
	SPECIAL TABU SEARCH TOPICS Probabilistic Tabu Search Tabu Thresholding Special Dynamic Tabu Tenure Strategies Hash Functions Ejection Chains Vocabulary Building Parallel Processing Discussion Questions and Exercises
	TABU SEARCH APPLICATIONS Planning and Scheduling Telecommunications Parallel Computing Transportation, Routing and Network Design Optimization on Structures Optimization on Graphs Neural Networks and Learning Continuous and Stochastic Optimzation Manufacturing Financial Analysis Specialized Techniques and General Zero-One Solvers Constraint Satisfaction and Satisfiability
	CONNECTIONS, HYBRID APPROACHES AND LEARNING Simulated Annealing Genetic Algorithms Scatter Search Greedy Randomized Adaptive Search Procedures Neural Networks Target Analysis Discussion Questions and Exercises Appendix: Illustrative Version of Nonlinear Scatter Search
	NEGLECTED TABU SEARCH STRATEGIES Candidate List Strategies Probabilistic Tabu Search Intensification Approaches Diversification Approaches Clustering and Conditional Analysis Referent-Domain Optimization Discussion Questions and Exercises
	REFERENCES
	INDEX