1. Introduction

   • John J. Grefenstette

   EditorialNotes Pages: 157 - 160

2. Introduction

   • John J. Grefenstette

   Introduction Pages: 157 - 160

3. Using genetic algorithms for concept learning

   • Kenneth A. De Jong
   • William M. Spears
   • Diana F. Gordon

   OriginalPaper Pages: 161 - 188

4. Using Genetic Algorithms for Concept Learning

   • Kenneth A. de Jong
   • William M. Spears
   • Diana F. Gordon

   OriginalPaper Pages: 161 - 188

5. A knowledge-intensive genetic algorithm for supervised learning

   • Cezary Z. Janikow

   OriginalPaper Pages: 189 - 228

6. A Knowledge-Intensive Genetic Algorithm for Supervised Learning

   • Cezary Z. Janikow

   OriginalPaper Pages: 189 - 228

7. Competition-Based Induction of Decision Models from Examples

   • David Perry Greene
   • Stephen F. Smith

   OriginalPaper Pages: 229 - 257

8. Competition-based induction of decision models from examples

   • David Perry Greene
   • Stephen F. Smith

   OriginalPaper Pages: 229 - 257

9. Genetic reinforcement learning for neurocontrol problems

   • Darrell Whitley
   • Stephen Dominic
   • Charles W. Anderson

   OriginalPaper Pages: 259 - 284

10. Genetic Reinforcement Learning for Neurocontrol Problems

    • Darrell Whitley
    • Stephen Dominic
    • Charles W. Anderson

    OriginalPaper Pages: 259 - 284

11. What Makes a Problem Hard for a Genetic Algorithm? Some Anomalous Results and Their Explanation

    • Stephanie Forrest
    • Melanie Mitchell

    OriginalPaper Pages: 285 - 319

12. What makes a problem hard for a genetic algorithm? Some anomalous results and their explanation

    • Stephanie Forrest
    • Melanie Mitchell

    OriginalPaper Pages: 285 - 319