This page is a short guide to Evolutionary Computation (EC) and some directions that comes from it: Genetic Algorithms (GA), Evolutionary Programming (EP), Evolution Strategies (ES), Classifier Systems (CFS) and Genetic Programming (GP). EC is a small part of scientific efforts that incorporating Fuzzy Systems and Artificial Neural Networks, forms Computational Intelligence (CI). All this optimization algorithms imitate certain principles that nature uses for improvement of nature's belongings.
USENET newsgroups: comp.ai.genetic ,comp.ai.neural-nets , comp.ai.digest, comp.ai.fuzzy, comp.ai.jair.announce, comp.ai.jair.papers, sci.op-research
| Author | Title | Type |
|---|---|---|
| Colorni, Dorigo, Maniezzo | The Time-Table Case | .ps.gz |
| Colorni, Dorigo, Maniezzo | A New Approach to the Time-Table Problem | .ps.gz |
| Colorni, Dorigo, Maniezzo | A Genetic Algorithm to Solve the Timetable Problem | .ps.gz |
| Langdon | Scheduling Planned Maintenance of the (UK) National Grid | .ps |
| Nissen | Evolutionary Algorithms in Management Science | .eps |
| Beasley, Bull, Martin | An Overview of Genetic Algorithms: Fundamentals | .ps |
| Beasley, Bull, Martin | An Overview of Genetic Algorithms: Research Topics | .ps |
| Whitley | A Genetic Algorithm Tutorial | ... |
| Hoffmeister, Baeck | Genetic Algofithms and Evolution Strategies: Similarities and Differences | ... |