1. Foreword

   • Graham Wood
   • Bill Baritompa
   • David Bulger

   OriginalPaper Pages: 547 - 548

2. Objective Function Features Providing Barriers to Rapid Global Optimization

   • M. Locatelli
   • G. R. Wood

   OriginalPaper Pages: 549 - 565

3. On the Investigation of Stochastic Global Optimization Algorithms

   • Bill Baritompa
   • Eligius M. T. Hendrix

   OriginalPaper Pages: 567 - 578

4. Matching Stochastic Algorithms to Objective Function Landscapes

   • W. P. Baritompa
   • M. Dür
   • G. R. Wood

   OriginalPaper Pages: 579 - 598

5. Optimising Noisy Objective Functions

   • David W. Bulger
   • H. Edwin Romeijn

   OriginalPaper Pages: 599 - 600

6. Approximate Implementations of Pure Random Search in the Presence of Noise

   • David L. J. Alexander
   • David W. Bulger
   • Ryan L. Sherriff

   OriginalPaper Pages: 601 - 612

7. Comparative Assessment of Algorithms and Software for Global Optimization

   • Charoenchai Khompatraporn
   • János D. Pintér
   • Zelda B. Zabinsky

   OriginalPaper Pages: 613 - 633

8. A Numerical Evaluation of Several Stochastic Algorithms on Selected Continuous Global Optimization Test Problems

   • M. Montaz Ali
   • Charoenchai Khompatraporn
   • Zelda B. Zabinsky

   OriginalPaper Pages: 635 - 672

9. Contents Volume 31

   Volume content Pages: 673 - 675