• List of figures; List of tables; Preface; Acknowledgments; 1. Introduction to reliability systems; 2. Analysis and classification of reliability optimization models; 3. Redundancy allocation by heuristic methods; 4. Redundancy allocation by dynamic programming; 5. Redundancy allocation by discrete optimization methods; 6. Reliability optimization by nonlinear programming; 7. Metaheuristic algorithms for optimization in reliability systems; 8. Reliability-redundancy allocation; 9. Component assignment in reliability systems; 10. Reliability systems with multiple objectives; 11. Other methods for system-reliability optimization; 12. Burn-in optimization under limited capacity; 13. Case study on design for software reliability optimization; 14. Case study on an optimal scheduled-maintenance policy; 15. Case studies on reliability optimization; Appendices; References; Index.

'The book is a very wide-ranging and thorough treatise on the solution of difficult problems in reliability optimization. A huge field of work is covered on many and varied problems for which it is often extremely difficult to find practical solutions. The writing is clear and careful and reflects the pooled expertise of the four authors. I would recommend this book for both learning and reference.' M. Crowder, International Statistical Institute