List of Papers
These are in the expected order of presentation.
- A Comparative Analysis of
Selection Schemes used in Genetic Algorithms,
David E. Goldberg, Kalyanmoy Deb, FOGA I Pgs 69 - 93.
- An investigation of
Niche and Species Formation in Genetic Function Optimization,
Kalyanmoy Deb, David E. Goldberg, Pgs 42 - 50, ICGA 3,
1989.
- GAEasy Does Not Imply Steepest Ascent Optimizable
Stewart W. Wilson and
Genetic Algorithms are NOT Function Optimizers
Kenneth A. DeJong
- Learning with Case Injected Genetic Algorithms
Sushil Louis, J. McDonnell and Nick Gizzi
October: Signup for your paper on CANVAS
One or two students per presentation. You may send me other papers that you might like to present.
- Genetic Local Search for the TSP: New Results Merz, Freisleben
- A Meta Heuristic Genetic Algorithm for Multi-Depot Routing in Autonomous Bridge Inspection Dedeurwaerder, Louis
- Genetic Optimization Of UAV-Based Ad-Hoc
Wireless Network Deployment Dubey, Louis
- Multi-objective evolution for 3D RTS Micro Louis, Liu
- A greedy search based evolutionary algorithm for electric vehicle routing problem Hien, Dao, Binh
- A Dual-Population Based Co-evolutionary Algorithm for Capacitated Electric Vehicle Routing Problems Wang, Qin, Xiang, Jiang, Zhang
- Genetic Algorithms for Job-Shop
Scheduling Problems Yamada, Nakano
- 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
- Simulated Binary Crossover Deb, Agarwal
-
Removing the Genetics from the Standard Genetic Algorithm
Baluja, Caruna
-
A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II
Deb IEEE Transactions on Evolutionary Computation
- New Methods for Competitive
Coevolution , Rosin, Belew
- The Royal Road for Genetic Algorithms Mitchell, Forrest, Holland
- Pareto Coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection , Jason Noble, Richard A. Watson
- Evolving Neural Networks through Augmenting Topologies (NEAT)
Ken Stanley and Risto Miikulainen
- Designing neural networks through neuroevolution a good follow up paper to bring us up to date.
- Competitive Coevolution through Evolutionary Complexification ,
Ken Stanley and Risto Miikulainen
-
Evolving new Strategies The
Evolution of Strategies in the Iterated Prisoner's Dilemna .
Axelrod
-
A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization, By Deb, Anand in Evolutionary Computation
-
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
Sushil Louis