A review of landmark articles in the field of co-evolutionary computing

Coevolution is a powerful tool in evolutionary computing that mitigates some of its endemic problems, namely stagnation in local optima and lack of convergence in high dimensionality problems. Since its inception in 1990, there are multiple articles that have contributed greatly to the development and improvement of the coevolutionary techniques. In this report we review some of those landmark articles dwelving in the techniques they propose and how they fit to conform robust evolutionary algorithms

[1]  John J. Grefenstette,et al.  A Coevolutionary Approach to Learning Sequential Decision Rules , 1995, ICGA.

[2]  Dave Cliff,et al.  Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations , 1995, ECAL.

[3]  Lawrence Davis,et al.  Applying Adaptive Algorithms to Epistatic Domains , 1985, IJCAI.

[4]  Jan Paredis,et al.  Co-evolutionary Constraint Satisfaction , 1994, PPSN.

[5]  W. Daniel Hillis,et al.  Co-evolving parasites improve simulated evolution as an optimization procedure , 1990 .

[6]  Jordan B. Pollack,et al.  Pareto Optimality in Coevolutionary Learning , 2001, ECAL.

[7]  K. Dejong,et al.  An Analysis Of The Behavior Of A Class Of Genetic Adaptive Systems , 1975 .

[8]  Richard K. Belew,et al.  New Methods for Competitive Coevolution , 1997, Evolutionary Computation.

[9]  Stefano Nolfi,et al.  Co-evolving predator and prey robots , 1998, Artificial Life.

[10]  John D. Owens,et al.  GPU Computing , 2008, Proceedings of the IEEE.

[11]  Kenneth A. De Jong,et al.  Evolving Complex Structures via Cooperative Coevolution , 1995, Evolutionary Programming.

[12]  Heinz Muehlenbein Parallel Genetic Algorithm in Combinatorial Optimization , 1992 .

[13]  Kenneth A. De Jong,et al.  A Cooperative Coevolutionary Approach to Function Optimization , 1994, PPSN.

[14]  J M Smith,et al.  Evolution and the theory of games , 1976 .

[15]  Paul Bryant Grosso,et al.  Computer Simulations of Genetic Adaptation: Parallel Subcomponent Interaction in a Multilocus Model , 1985 .

[16]  Robert Axelrod,et al.  The Evolution of Strategies in the Iterated Prisoner's Dilemma , 2001 .

[17]  Kenneth A. De Jong,et al.  Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents , 2000, Evolutionary Computation.

[18]  Gunar E. Liepins,et al.  Some Guidelines for Genetic Algorithms with Penalty Functions , 1989, ICGA.

[19]  R. Watson,et al.  Pareto coevolution: using performance against coevolved opponents in a game as dimensions for Pareto selection , 2001 .