Global optimization
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Memetic algorithms: a short introduction
New ideas in optimization
Effects of interaction topology and activation regime in several mutli-agent systems
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
Serial and Parallel Genetic Algorithms as Function Optimizers
Proceedings of the 5th International Conference on Genetic Algorithms
Linked
Agent network topology and complexity
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Agent-Based Peer-to-Peer Service Networks: A Study of Effectiveness and Structure Evolution
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
The Structure and Dynamics of Networks: (Princeton Studies in Complexity)
Mating networks in steady state genetic algorithms are scale free
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Smart business networks: how the network wins
Communications of the ACM - Smart business networks
Emergence of global network property based on multi-agent voting model
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
The impact of network topology on pure Nash equilibria in graphical games
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
An information-theoretic analysis of memory bounds in a distributed resource allocation mechanism
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Communications Magazine
On the Role of Structured Information Exchange in Supervised Learning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Dynamics in the normative group recognition process
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Towards social problem-solving with human subjects
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems
Expert Systems with Applications: An International Journal
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We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimization algorithms. This new class makes explicit use of an underlying network that structures the information flow between multiple agents performing local searches. We show that this new class of algorithms is competitive with respect to other population-based optimization techniques. Finally, we demonstrate by numerical simulations that changes in the way the network is built leads to variations in the system's performance. In particular, we show how constrained hubs - highly connected agents - can be beneficial in particular optimization problems.