Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Co-evolving parasites improve simulated evolution as an optimization procedure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolutionary dynamics of spatial games
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Evolving cellular automata to perform computations: mechanisms and impediments
Proceedings of the NATO advanced research workshop and EGS topical workshop on Chaotic advection, tracer dynamics and turbulent dispersion
Coevolutionary search among adversaries
Coevolutionary search among adversaries
Proceedings of the sixth international conference on Artificial life
ALIFE Proceedings of the sixth international conference on Artificial life
Ruggedness and neutrality—the NKp family of fitness landscapes
ALIFE Proceedings of the sixth international conference on Artificial life
ALIFE Proceedings of the sixth international conference on Artificial life
Co-Evolution in the Successful Learning of Backgammon Strategy
Machine Learning
Coevolving communicative behavior in a linear pursuer-evadergame
Proceedings of the fifth international conference on simulation of adaptive behavior on From animals to animats 5
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Fitness landscapes and evolvability
Evolutionary Computation
Proceedings of the Third European Conference on Advances in Artificial Life
Proceedings of the Third European Conference on Advances in Artificial Life
Incremental Co-Evolution of Organisms: A New Approach for Optimization and Discovery of Strategies
Proceedings of the Third European Conference on Advances in Artificial Life
Tracking the Red Queen: Measurements of Adaptive Progress in Co-Evolutionary Simulations
Proceedings of the Third European Conference on Advances in Artificial Life
Coevolutionary Learning: A Case Study
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Competitive Environments Evolve Better Solutions for Complex Tasks
Proceedings of the 5th International Conference on Genetic Algorithms
Methods for Competitive Co-Evolution: Finding Opponents Worth Beating
Proceedings of the 6th International Conference on Genetic Algorithms
Does Data-Model Co-evolution Improve Generalization Performance of Evolving Learners?
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
A Cooperative Coevolutionary Approach to Function Optimization
PPSN III Proceedings of the International Conference on Evolutionary Computation. The Third Conference on Parallel Problem Solving from Nature: Parallel Problem Solving from Nature
ICAL 2003 Proceedings of the eighth international conference on Artificial life
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
New methods for competitive coevolution
Evolutionary Computation
Investigating the success of spatial coevolution
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Monotonic Archive for Pareto-Coevolution
Evolutionary Computation
Abandoning objectives: Evolution through the search for novelty alone
Evolutionary Computation
The global financial markets: an ultra-large-scale systems perspective
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
A multimodal problem for competitive coevolution
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
On GPU based fitness evaluation with decoupled training partition cardinality
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
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While standard evolutionary algorithms employ a static, absolute fitness metric, coevolutionary algorithms assess individuals by their performance relative to populations of opponents that are themselves evolving. Although this arrangement offers the possibility of avoiding long-standing difficulties such as premature convergence, it suffers from its own unique problems, cycling, over-focusing and disengagement. Here, we introduce a novel technique for dealing with the third and least explored of these problems. Inspired by studies of natural host-parasite systems, we show that disengagement can be avoided by selecting for individuals that exhibit reduced levels of "virulence", rather than maximum ability to defeat coevolutionary adversaries. Experiments in both simple and complex domains are used to explain how this counterintuitive approach may be used to improve the success of coevolutionary algorithms.