Introduction / 1: |
Integer Optimization and Heuristics / 1.1: |
Integer Local Search / 1.2: |
Experimental Results / 1.3: |
Research Contributions / 1.4: |
Frameworks for Combinatorial Optimization / 2: |
Integer Programming Branch- and- Bound / 2.1: |
Finite Domain Constraint Programming / 2.2: |
Local Search / 2.3: |
Meta- heuristics / 2.3.1: |
RISC and CISC Local Search / 2.3.2: |
Local Search for SAT / 2.3.3: |
Application Domains of SAT Local Search / 2.3.4: |
Modeling Languages / 2.4: |
Search Relaxations and Integer Local Search / 2.5: |
Local Search for Integer Constraints / 3: |
Over- Constrained Integer Programs / 3.1: |
Definition / 3.1.1: |
Relation to Integer Linear Programs / 3.1.2: |
Constraint-Bounds / 3.1.3: |
Integer Local Search: Wsat(oip) / 3.2: |
The Score / 3.2.1: |
The Main Loop / 3.2.2: |
Move Selection and Tabu Search Extensions / 3.2.3: |
Combinations with Linear Programming / 3.3: |
Bounds from LP Relaxations / 3.3.1: |
Initialization by Rounding LP Solutions / 3.3.2: |
Search Space Reduction Using LP Reduced Costs / 3.3.3: |
Implementation Issues / 3.3.4: |
A Graphical Interpretation / 3.4: |
Related Work / 3.5: |
Integer Programming Heuristics / 3.5.1: |
Local Search in Constraint Satisfaction / 3.5.2: |
Summary / 3.6: |
Case Studies Methodology / 4: |
Optimization in Practice: Criteria of Success / 4.1: |
Scaling with Increasing Problem Size / 4.1.1: |
Scaling with Increasing Constrainedness / 4.1.2: |
Flexibility and Residual Robustness / 4.1.3: |
The Problem Class Selection / 4.2: |
The Empirical Comparisons / 4.3: |
Time-Tabling and Sports Scheduling / 5: |
The Progressive Party Problem / 5.1: |
Problem Description and Formulation / 5.1.1: |
Experimental Results and Comparison / 5.1.2: |
The ACC Basketball Scheduling Problem / 5.2: |
Double Round Robin Scheduling / 5.2.1: |
Problem Specification of ACC97/98 / 5.2.2: |
Integer Local Search Formulation / 5.2.3: |
Redundant Constraints / 5.2.4: |
Previous (Multi- stage) Approaches / 5.2.5: |
Experimental Results under Varied Constrainedness / 5.2.6: |
Minimal Distortion Mirroring / 5.2.7: |
Conclusions / 5.3: |
Covering and Assignment / 6: |
Radar Surveillance Covering / 6.1: |
Experimental Results under Varied Problem Size / 6.1.1: |
Course Assignment / 6.2: |
A Related Application: Reviewer Assignment / 6.2.1: |
Capacitated Production Planning / 6.3: |
Capacitated Lot- Sizing / 7.1: |
Mixed Integer Programming Formulation / 7.2: |
Lagrangean Relaxation Approach / 7.3.1: |
Restricting the Problem / 7.3.2: |
Comparison of Results / 7.4: |
Lower Bounds / 7.4.2: |
Extensions / 7.5: |
Current Limitations / 8.1: |
An Alternative Scoring Scheme / 8.2: |
Future Research / 8.3: |
A Complete AMPL Model for ACC97/98 / 8.4: |
References |
Index |
Introduction / 1: |
Integer Optimization and Heuristics / 1.1: |
Integer Local Search / 1.2: |