These are in the expected order of presentation.

1. A Comparative Analysis of Selection Schemes used in Genetic Algorithms, David E. Goldberg, Kalyanmoy Deb, FOGA I Pgs 69 - 93.
   • Sushil
   • Presentation

2. An investigation of Niche and Species Formation in Genetic Function Optimization, Kalyanmoy Deb, David E. Goldberg, Pgs 42 - 50, ICGA 3, 1989.
   • Sushil
   • Presentation

3. GAEasy Does Not Imply Steepest Ascent Optimizable Stewart W. Wilson and Genetic Algorithms are NOT Function Optimizers Kenneth A. DeJong
   • Sushil
   • Presentation

4. Learning with Case Injected Genetic Algorithms Sushil Louis, J. McDonnell and Nick Gizzi
   • Sushil
   • Presentation

1. Genetic Local Search for the TSP: New Results Merz, Freisleben
2. A Meta Heuristic Genetic Algorithm for Multi-Depot Routing in Autonomous Bridge Inspection Dedeurwaerder, Louis
3. Genetic Optimization Of UAV-Based Ad-Hoc Wireless Network Deployment Dubey, Louis
4. Multi-objective evolution for 3D RTS Micro Louis, Liu
5. A greedy search based evolutionary algorithm for electric vehicle routing problem Hien, Dao, Binh
6. A Dual-Population Based Co-evolutionary Algorithm for Capacitated Electric Vehicle Routing Problems Wang, Qin, Xiang, Jiang, Zhang
7. Genetic Algorithms for Job-Shop Scheduling Problems Yamada, Nakano
8. Genetic Algorithms for the Travelling Salesman Problem: A Review of Representations and Operators P. Larranaga, C.M.H. Kuijpers, R.H. Murga, I. Inza and S. Dizdarevic
9. Simulated Binary Crossover Deb, Agarwal

10. Removing the Genetics from the Standard Genetic Algorithm Baluja, Caruna

11. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II Deb IEEE Transactions on Evolutionary Computation

12. New Methods for Competitive Coevolution , Rosin, Belew

13. The Royal Road for Genetic Algorithms Mitchell, Forrest, Holland

14. Pareto Coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection , Jason Noble, Richard A. Watson
15. Evolving Neural Networks through Augmenting Topologies (NEAT) Ken Stanley and Risto Miikulainen

16. Designing neural networks through neuroevolution a good follow up paper to bring us up to date.

17. Competitive Coevolution through Evolutionary Complexification , Ken Stanley and Risto Miikulainen

18. Evolving new Strategies The Evolution of Strategies in the Iterated Prisoner's Dilemna . Axelrod

19. A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization, By Deb, Anand in Evolutionary Computation

20. A Heuristic Combination Method for solving Job Shop Scheduling Problems, By Emma Hart and Peter Ross in Proceedings of the Fifth International Conference Parallel Problem Solving from Nature