Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
Information warfare and security
Information warfare and security
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Introduction To Automata Theory, Languages, And Computation
Introduction To Automata Theory, Languages, And Computation
Genetic Search with Approximate Function Evaluation
Proceedings of the 1st International Conference on Genetic Algorithms
Distributed Spatial Control, Global Monitoring and Steering of Mobile Agents
ICIIS '99 Proceedings of the 1999 International Conference on Information Intelligence and Systems
Learning models of intelligent agents
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Effective vaccination policies
Information Sciences: an International Journal
Learning finite-state machines with ant colony optimization
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
MuACOsm: a new mutation-based ant colony optimization algorithm for learning finite-state machines
Proceedings of the 15th annual conference on Genetic and evolutionary computation
| Hi-index | 0.00 |
We are becoming increasingly dependent on large interconnected networks for the control of our resources. One important issue is resource protection strategies in the event of failures and/or attacks. To address this issue we investigated the effectiveness of evolving finite-state machine (FSM) strategies for winning against an adversary in a challenging Competition for Resources simulation. Although preliminary results were promising, unproductive cyclic behavior lowered performance. We then augmented evolution with an algorithm that rapidly detects and removes this cyclic behavior, thereby improving performance dramatically.